diff --git a/services/cognitiveservices/v3.1/computervision/client.go b/services/cognitiveservices/v3.1/computervision/client.go
new file mode 100644
index 000000000000..519af04821a4
--- /dev/null
+++ b/services/cognitiveservices/v3.1/computervision/client.go
@@ -0,0 +1,1820 @@
+// Package computervision implements the Azure ARM Computervision service API version 3.1.
+//
+// The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example,
+// it can be used to determine if an image contains mature content, or it can be used to find all the faces in an
+// image.  It also has other features like estimating dominant and accent colors, categorizing the content of images,
+// and describing an image with complete English sentences.  Additionally, it can also intelligently generate images
+// thumbnails for displaying large images effectively.
+package computervision
+
+// Copyright (c) Microsoft and contributors.  All rights reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Code generated by Microsoft (R) AutoRest Code Generator.
+// Changes may cause incorrect behavior and will be lost if the code is regenerated.
+
+import (
+	"context"
+	"github.com/Azure/go-autorest/autorest"
+	"github.com/Azure/go-autorest/autorest/azure"
+	"github.com/Azure/go-autorest/autorest/validation"
+	"github.com/Azure/go-autorest/tracing"
+	"github.com/satori/go.uuid"
+	"io"
+	"net/http"
+)
+
+// BaseClient is the base client for Computervision.
+type BaseClient struct {
+	autorest.Client
+	Endpoint string
+}
+
+// New creates an instance of the BaseClient client.
+func New(endpoint string) BaseClient {
+	return NewWithoutDefaults(endpoint)
+}
+
+// NewWithoutDefaults creates an instance of the BaseClient client.
+func NewWithoutDefaults(endpoint string) BaseClient {
+	return BaseClient{
+		Client:   autorest.NewClientWithUserAgent(UserAgent()),
+		Endpoint: endpoint,
+	}
+}
+
+// AnalyzeImage this operation extracts a rich set of visual features based on the image content.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. Within your request, there
+// is an optional parameter to allow you to choose which features to return. By default, image categories are returned
+// in the response.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// visualFeatures - a string indicating what visual feature types to return. Multiple values should be
+// comma-separated. Valid visual feature types include: Categories - categorizes image content according to a
+// taxonomy defined in documentation. Tags - tags the image with a detailed list of words related to the image
+// content. Description - describes the image content with a complete English sentence. Faces - detects if
+// faces are present. If present, generate coordinates, gender and age. ImageType - detects if image is clipart
+// or a line drawing. Color - determines the accent color, dominant color, and whether an image is black&white.
+// Adult - detects if the image is pornographic in nature (depicts nudity or a sex act), or is gory (depicts
+// extreme violence or blood). Sexually suggestive content (aka racy content) is also detected. Objects -
+// detects various objects within an image, including the approximate location. The Objects argument is only
+// available in English. Brands - detects various brands within an image, including the approximate location.
+// The Brands argument is only available in English.
+// details - a string indicating which domain-specific details to return. Multiple values should be
+// comma-separated. Valid visual feature types include: Celebrities - identifies celebrities if detected in the
+// image, Landmarks - identifies notable landmarks in the image.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+// descriptionExclude - turn off specified domain models when generating the description.
+func (client BaseClient) AnalyzeImage(ctx context.Context, imageURL ImageURL, visualFeatures []VisualFeatureTypes, details []Details, language string, descriptionExclude []DescriptionExclude) (result ImageAnalysis, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.AnalyzeImage")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "AnalyzeImage", err.Error())
+	}
+
+	req, err := client.AnalyzeImagePreparer(ctx, imageURL, visualFeatures, details, language, descriptionExclude)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImage", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.AnalyzeImageSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImage", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.AnalyzeImageResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImage", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// AnalyzeImagePreparer prepares the AnalyzeImage request.
+func (client BaseClient) AnalyzeImagePreparer(ctx context.Context, imageURL ImageURL, visualFeatures []VisualFeatureTypes, details []Details, language string, descriptionExclude []DescriptionExclude) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if visualFeatures != nil && len(visualFeatures) > 0 {
+		queryParameters["visualFeatures"] = autorest.Encode("query", visualFeatures, ",")
+	}
+	if details != nil && len(details) > 0 {
+		queryParameters["details"] = autorest.Encode("query", details, ",")
+	}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+	if descriptionExclude != nil && len(descriptionExclude) > 0 {
+		queryParameters["descriptionExclude"] = autorest.Encode("query", descriptionExclude, ",")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/analyze"),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// AnalyzeImageSender sends the AnalyzeImage request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) AnalyzeImageSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// AnalyzeImageResponder handles the response to the AnalyzeImage request. The method always
+// closes the http.Response Body.
+func (client BaseClient) AnalyzeImageResponder(resp *http.Response) (result ImageAnalysis, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// AnalyzeImageByDomain this operation recognizes content within an image by applying a domain-specific model. The list
+// of domain-specific models that are supported by the Computer Vision API can be retrieved using the /models GET
+// request. Currently, the API provides following domain-specific models: celebrities, landmarks.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON.
+// If the request failed, the response will contain an error code and a message to help understand what went wrong.
+// Parameters:
+// model - the domain-specific content to recognize.
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+func (client BaseClient) AnalyzeImageByDomain(ctx context.Context, model string, imageURL ImageURL, language string) (result DomainModelResults, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.AnalyzeImageByDomain")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "AnalyzeImageByDomain", err.Error())
+	}
+
+	req, err := client.AnalyzeImageByDomainPreparer(ctx, model, imageURL, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageByDomain", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.AnalyzeImageByDomainSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageByDomain", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.AnalyzeImageByDomainResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageByDomain", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// AnalyzeImageByDomainPreparer prepares the AnalyzeImageByDomain request.
+func (client BaseClient) AnalyzeImageByDomainPreparer(ctx context.Context, model string, imageURL ImageURL, language string) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	pathParameters := map[string]interface{}{
+		"model": autorest.Encode("path", model),
+	}
+
+	queryParameters := map[string]interface{}{}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPathParameters("/models/{model}/analyze", pathParameters),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// AnalyzeImageByDomainSender sends the AnalyzeImageByDomain request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) AnalyzeImageByDomainSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// AnalyzeImageByDomainResponder handles the response to the AnalyzeImageByDomain request. The method always
+// closes the http.Response Body.
+func (client BaseClient) AnalyzeImageByDomainResponder(resp *http.Response) (result DomainModelResults, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// AnalyzeImageByDomainInStream this operation recognizes content within an image by applying a domain-specific model.
+// The list of domain-specific models that are supported by the Computer Vision API can be retrieved using the /models
+// GET request. Currently, the API provides following domain-specific models: celebrities, landmarks.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON.
+// If the request failed, the response will contain an error code and a message to help understand what went wrong.
+// Parameters:
+// model - the domain-specific content to recognize.
+// imageParameter - an image stream.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+func (client BaseClient) AnalyzeImageByDomainInStream(ctx context.Context, model string, imageParameter io.ReadCloser, language string) (result DomainModelResults, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.AnalyzeImageByDomainInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.AnalyzeImageByDomainInStreamPreparer(ctx, model, imageParameter, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageByDomainInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.AnalyzeImageByDomainInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageByDomainInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.AnalyzeImageByDomainInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageByDomainInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// AnalyzeImageByDomainInStreamPreparer prepares the AnalyzeImageByDomainInStream request.
+func (client BaseClient) AnalyzeImageByDomainInStreamPreparer(ctx context.Context, model string, imageParameter io.ReadCloser, language string) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	pathParameters := map[string]interface{}{
+		"model": autorest.Encode("path", model),
+	}
+
+	queryParameters := map[string]interface{}{}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPathParameters("/models/{model}/analyze", pathParameters),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// AnalyzeImageByDomainInStreamSender sends the AnalyzeImageByDomainInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) AnalyzeImageByDomainInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// AnalyzeImageByDomainInStreamResponder handles the response to the AnalyzeImageByDomainInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) AnalyzeImageByDomainInStreamResponder(resp *http.Response) (result DomainModelResults, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// AnalyzeImageInStream this operation extracts a rich set of visual features based on the image content.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL. Within your request, there
+// is an optional parameter to allow you to choose which features to return. By default, image categories are returned
+// in the response.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageParameter - an image stream.
+// visualFeatures - a string indicating what visual feature types to return. Multiple values should be
+// comma-separated. Valid visual feature types include: Categories - categorizes image content according to a
+// taxonomy defined in documentation. Tags - tags the image with a detailed list of words related to the image
+// content. Description - describes the image content with a complete English sentence. Faces - detects if
+// faces are present. If present, generate coordinates, gender and age. ImageType - detects if image is clipart
+// or a line drawing. Color - determines the accent color, dominant color, and whether an image is black&white.
+// Adult - detects if the image is pornographic in nature (depicts nudity or a sex act), or is gory (depicts
+// extreme violence or blood). Sexually suggestive content (aka racy content) is also detected. Objects -
+// detects various objects within an image, including the approximate location. The Objects argument is only
+// available in English. Brands - detects various brands within an image, including the approximate location.
+// The Brands argument is only available in English.
+// details - a string indicating which domain-specific details to return. Multiple values should be
+// comma-separated. Valid visual feature types include: Celebrities - identifies celebrities if detected in the
+// image, Landmarks - identifies notable landmarks in the image.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+// descriptionExclude - turn off specified domain models when generating the description.
+func (client BaseClient) AnalyzeImageInStream(ctx context.Context, imageParameter io.ReadCloser, visualFeatures []VisualFeatureTypes, details []Details, language string, descriptionExclude []DescriptionExclude) (result ImageAnalysis, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.AnalyzeImageInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.AnalyzeImageInStreamPreparer(ctx, imageParameter, visualFeatures, details, language, descriptionExclude)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.AnalyzeImageInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.AnalyzeImageInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "AnalyzeImageInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// AnalyzeImageInStreamPreparer prepares the AnalyzeImageInStream request.
+func (client BaseClient) AnalyzeImageInStreamPreparer(ctx context.Context, imageParameter io.ReadCloser, visualFeatures []VisualFeatureTypes, details []Details, language string, descriptionExclude []DescriptionExclude) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if visualFeatures != nil && len(visualFeatures) > 0 {
+		queryParameters["visualFeatures"] = autorest.Encode("query", visualFeatures, ",")
+	}
+	if details != nil && len(details) > 0 {
+		queryParameters["details"] = autorest.Encode("query", details, ",")
+	}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+	if descriptionExclude != nil && len(descriptionExclude) > 0 {
+		queryParameters["descriptionExclude"] = autorest.Encode("query", descriptionExclude, ",")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/analyze"),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// AnalyzeImageInStreamSender sends the AnalyzeImageInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) AnalyzeImageInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// AnalyzeImageInStreamResponder handles the response to the AnalyzeImageInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) AnalyzeImageInStreamResponder(resp *http.Response) (result ImageAnalysis, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// DescribeImage this operation generates a description of an image in human readable language with complete sentences.
+// The description is based on a collection of content tags, which are also returned by the operation. More than one
+// description can be generated for each image. Descriptions are ordered by their confidence score. Descriptions may
+// include results from celebrity and landmark domain models, if applicable.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// maxCandidates - maximum number of candidate descriptions to be returned.  The default is 1.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+// descriptionExclude - turn off specified domain models when generating the description.
+func (client BaseClient) DescribeImage(ctx context.Context, imageURL ImageURL, maxCandidates *int32, language string, descriptionExclude []DescriptionExclude) (result ImageDescription, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.DescribeImage")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "DescribeImage", err.Error())
+	}
+
+	req, err := client.DescribeImagePreparer(ctx, imageURL, maxCandidates, language, descriptionExclude)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DescribeImage", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.DescribeImageSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DescribeImage", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.DescribeImageResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DescribeImage", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// DescribeImagePreparer prepares the DescribeImage request.
+func (client BaseClient) DescribeImagePreparer(ctx context.Context, imageURL ImageURL, maxCandidates *int32, language string, descriptionExclude []DescriptionExclude) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if maxCandidates != nil {
+		queryParameters["maxCandidates"] = autorest.Encode("query", *maxCandidates)
+	} else {
+		queryParameters["maxCandidates"] = autorest.Encode("query", 1)
+	}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+	if descriptionExclude != nil && len(descriptionExclude) > 0 {
+		queryParameters["descriptionExclude"] = autorest.Encode("query", descriptionExclude, ",")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/describe"),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// DescribeImageSender sends the DescribeImage request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) DescribeImageSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// DescribeImageResponder handles the response to the DescribeImage request. The method always
+// closes the http.Response Body.
+func (client BaseClient) DescribeImageResponder(resp *http.Response) (result ImageDescription, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// DescribeImageInStream this operation generates a description of an image in human readable language with complete
+// sentences. The description is based on a collection of content tags, which are also returned by the operation. More
+// than one description can be generated for each image. Descriptions are ordered by their confidence score.
+// Descriptions may include results from celebrity and landmark domain models, if applicable.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageParameter - an image stream.
+// maxCandidates - maximum number of candidate descriptions to be returned.  The default is 1.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+// descriptionExclude - turn off specified domain models when generating the description.
+func (client BaseClient) DescribeImageInStream(ctx context.Context, imageParameter io.ReadCloser, maxCandidates *int32, language string, descriptionExclude []DescriptionExclude) (result ImageDescription, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.DescribeImageInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.DescribeImageInStreamPreparer(ctx, imageParameter, maxCandidates, language, descriptionExclude)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DescribeImageInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.DescribeImageInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DescribeImageInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.DescribeImageInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DescribeImageInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// DescribeImageInStreamPreparer prepares the DescribeImageInStream request.
+func (client BaseClient) DescribeImageInStreamPreparer(ctx context.Context, imageParameter io.ReadCloser, maxCandidates *int32, language string, descriptionExclude []DescriptionExclude) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if maxCandidates != nil {
+		queryParameters["maxCandidates"] = autorest.Encode("query", *maxCandidates)
+	} else {
+		queryParameters["maxCandidates"] = autorest.Encode("query", 1)
+	}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+	if descriptionExclude != nil && len(descriptionExclude) > 0 {
+		queryParameters["descriptionExclude"] = autorest.Encode("query", descriptionExclude, ",")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/describe"),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// DescribeImageInStreamSender sends the DescribeImageInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) DescribeImageInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// DescribeImageInStreamResponder handles the response to the DescribeImageInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) DescribeImageInStreamResponder(resp *http.Response) (result ImageDescription, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// DetectObjects performs object detection on the specified image.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+func (client BaseClient) DetectObjects(ctx context.Context, imageURL ImageURL) (result DetectResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.DetectObjects")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "DetectObjects", err.Error())
+	}
+
+	req, err := client.DetectObjectsPreparer(ctx, imageURL)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DetectObjects", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.DetectObjectsSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DetectObjects", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.DetectObjectsResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DetectObjects", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// DetectObjectsPreparer prepares the DetectObjects request.
+func (client BaseClient) DetectObjectsPreparer(ctx context.Context, imageURL ImageURL) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/detect"),
+		autorest.WithJSON(imageURL))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// DetectObjectsSender sends the DetectObjects request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) DetectObjectsSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// DetectObjectsResponder handles the response to the DetectObjects request. The method always
+// closes the http.Response Body.
+func (client BaseClient) DetectObjectsResponder(resp *http.Response) (result DetectResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// DetectObjectsInStream performs object detection on the specified image.
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageParameter - an image stream.
+func (client BaseClient) DetectObjectsInStream(ctx context.Context, imageParameter io.ReadCloser) (result DetectResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.DetectObjectsInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.DetectObjectsInStreamPreparer(ctx, imageParameter)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DetectObjectsInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.DetectObjectsInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DetectObjectsInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.DetectObjectsInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "DetectObjectsInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// DetectObjectsInStreamPreparer prepares the DetectObjectsInStream request.
+func (client BaseClient) DetectObjectsInStreamPreparer(ctx context.Context, imageParameter io.ReadCloser) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/detect"),
+		autorest.WithFile(imageParameter))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// DetectObjectsInStreamSender sends the DetectObjectsInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) DetectObjectsInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// DetectObjectsInStreamResponder handles the response to the DetectObjectsInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) DetectObjectsInStreamResponder(resp *http.Response) (result DetectResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// GenerateThumbnail this operation generates a thumbnail image with the user-specified width and height. By default,
+// the service analyzes the image, identifies the region of interest (ROI), and generates smart cropping coordinates
+// based on the ROI. Smart cropping helps when you specify an aspect ratio that differs from that of the input image.
+// A successful response contains the thumbnail image binary. If the request failed, the response contains an error
+// code and a message to help determine what went wrong.
+// Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl,
+// InvalidImageFormat, InvalidImageSize, InvalidThumbnailSize, NotSupportedImage, FailedToProcess, Timeout, or
+// InternalServerError.
+// Parameters:
+// width - width of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
+// height - height of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// smartCropping - boolean flag for enabling smart cropping.
+func (client BaseClient) GenerateThumbnail(ctx context.Context, width int32, height int32, imageURL ImageURL, smartCropping *bool) (result ReadCloser, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.GenerateThumbnail")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: width,
+			Constraints: []validation.Constraint{{Target: "width", Name: validation.InclusiveMaximum, Rule: int64(1024), Chain: nil},
+				{Target: "width", Name: validation.InclusiveMinimum, Rule: int64(1), Chain: nil}}},
+		{TargetValue: height,
+			Constraints: []validation.Constraint{{Target: "height", Name: validation.InclusiveMaximum, Rule: int64(1024), Chain: nil},
+				{Target: "height", Name: validation.InclusiveMinimum, Rule: int64(1), Chain: nil}}},
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "GenerateThumbnail", err.Error())
+	}
+
+	req, err := client.GenerateThumbnailPreparer(ctx, width, height, imageURL, smartCropping)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GenerateThumbnail", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.GenerateThumbnailSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GenerateThumbnail", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.GenerateThumbnailResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GenerateThumbnail", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// GenerateThumbnailPreparer prepares the GenerateThumbnail request.
+func (client BaseClient) GenerateThumbnailPreparer(ctx context.Context, width int32, height int32, imageURL ImageURL, smartCropping *bool) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{
+		"height": autorest.Encode("query", height),
+		"width":  autorest.Encode("query", width),
+	}
+	if smartCropping != nil {
+		queryParameters["smartCropping"] = autorest.Encode("query", *smartCropping)
+	} else {
+		queryParameters["smartCropping"] = autorest.Encode("query", false)
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/generateThumbnail"),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// GenerateThumbnailSender sends the GenerateThumbnail request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) GenerateThumbnailSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// GenerateThumbnailResponder handles the response to the GenerateThumbnail request. The method always
+// closes the http.Response Body.
+func (client BaseClient) GenerateThumbnailResponder(resp *http.Response) (result ReadCloser, err error) {
+	result.Value = &resp.Body
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK))
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// GenerateThumbnailInStream this operation generates a thumbnail image with the user-specified width and height. By
+// default, the service analyzes the image, identifies the region of interest (ROI), and generates smart cropping
+// coordinates based on the ROI. Smart cropping helps when you specify an aspect ratio that differs from that of the
+// input image.
+// A successful response contains the thumbnail image binary. If the request failed, the response contains an error
+// code and a message to help determine what went wrong.
+// Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl,
+// InvalidImageFormat, InvalidImageSize, InvalidThumbnailSize, NotSupportedImage, FailedToProcess, Timeout, or
+// InternalServerError.
+// Parameters:
+// width - width of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
+// height - height of the thumbnail, in pixels. It must be between 1 and 1024. Recommended minimum of 50.
+// imageParameter - an image stream.
+// smartCropping - boolean flag for enabling smart cropping.
+func (client BaseClient) GenerateThumbnailInStream(ctx context.Context, width int32, height int32, imageParameter io.ReadCloser, smartCropping *bool) (result ReadCloser, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.GenerateThumbnailInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: width,
+			Constraints: []validation.Constraint{{Target: "width", Name: validation.InclusiveMaximum, Rule: int64(1024), Chain: nil},
+				{Target: "width", Name: validation.InclusiveMinimum, Rule: int64(1), Chain: nil}}},
+		{TargetValue: height,
+			Constraints: []validation.Constraint{{Target: "height", Name: validation.InclusiveMaximum, Rule: int64(1024), Chain: nil},
+				{Target: "height", Name: validation.InclusiveMinimum, Rule: int64(1), Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "GenerateThumbnailInStream", err.Error())
+	}
+
+	req, err := client.GenerateThumbnailInStreamPreparer(ctx, width, height, imageParameter, smartCropping)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GenerateThumbnailInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.GenerateThumbnailInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GenerateThumbnailInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.GenerateThumbnailInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GenerateThumbnailInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// GenerateThumbnailInStreamPreparer prepares the GenerateThumbnailInStream request.
+func (client BaseClient) GenerateThumbnailInStreamPreparer(ctx context.Context, width int32, height int32, imageParameter io.ReadCloser, smartCropping *bool) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{
+		"height": autorest.Encode("query", height),
+		"width":  autorest.Encode("query", width),
+	}
+	if smartCropping != nil {
+		queryParameters["smartCropping"] = autorest.Encode("query", *smartCropping)
+	} else {
+		queryParameters["smartCropping"] = autorest.Encode("query", false)
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/generateThumbnail"),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// GenerateThumbnailInStreamSender sends the GenerateThumbnailInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) GenerateThumbnailInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// GenerateThumbnailInStreamResponder handles the response to the GenerateThumbnailInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) GenerateThumbnailInStreamResponder(resp *http.Response) (result ReadCloser, err error) {
+	result.Value = &resp.Body
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK))
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// GetAreaOfInterest this operation returns a bounding box around the most important area of the image.
+// A successful response will be returned in JSON. If the request failed, the response contains an error code and a
+// message to help determine what went wrong.
+// Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl,
+// InvalidImageFormat, InvalidImageSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError.
+// Parameters:
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+func (client BaseClient) GetAreaOfInterest(ctx context.Context, imageURL ImageURL) (result AreaOfInterestResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.GetAreaOfInterest")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "GetAreaOfInterest", err.Error())
+	}
+
+	req, err := client.GetAreaOfInterestPreparer(ctx, imageURL)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetAreaOfInterest", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.GetAreaOfInterestSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetAreaOfInterest", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.GetAreaOfInterestResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetAreaOfInterest", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// GetAreaOfInterestPreparer prepares the GetAreaOfInterest request.
+func (client BaseClient) GetAreaOfInterestPreparer(ctx context.Context, imageURL ImageURL) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/areaOfInterest"),
+		autorest.WithJSON(imageURL))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// GetAreaOfInterestSender sends the GetAreaOfInterest request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) GetAreaOfInterestSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// GetAreaOfInterestResponder handles the response to the GetAreaOfInterest request. The method always
+// closes the http.Response Body.
+func (client BaseClient) GetAreaOfInterestResponder(resp *http.Response) (result AreaOfInterestResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// GetAreaOfInterestInStream this operation returns a bounding box around the most important area of the image.
+// A successful response will be returned in JSON. If the request failed, the response contains an error code and a
+// message to help determine what went wrong.
+// Upon failure, the error code and an error message are returned. The error code could be one of InvalidImageUrl,
+// InvalidImageFormat, InvalidImageSize, NotSupportedImage, FailedToProcess, Timeout, or InternalServerError.
+// Parameters:
+// imageParameter - an image stream.
+func (client BaseClient) GetAreaOfInterestInStream(ctx context.Context, imageParameter io.ReadCloser) (result AreaOfInterestResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.GetAreaOfInterestInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.GetAreaOfInterestInStreamPreparer(ctx, imageParameter)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetAreaOfInterestInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.GetAreaOfInterestInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetAreaOfInterestInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.GetAreaOfInterestInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetAreaOfInterestInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// GetAreaOfInterestInStreamPreparer prepares the GetAreaOfInterestInStream request.
+func (client BaseClient) GetAreaOfInterestInStreamPreparer(ctx context.Context, imageParameter io.ReadCloser) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/areaOfInterest"),
+		autorest.WithFile(imageParameter))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// GetAreaOfInterestInStreamSender sends the GetAreaOfInterestInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) GetAreaOfInterestInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// GetAreaOfInterestInStreamResponder handles the response to the GetAreaOfInterestInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) GetAreaOfInterestInStreamResponder(resp *http.Response) (result AreaOfInterestResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// GetReadResult this interface is used for getting OCR results of Read operation. The URL to this interface should be
+// retrieved from 'Operation-Location' field returned from Read interface.
+// Parameters:
+// operationID - id of read operation returned in the response of the 'Read' interface.
+func (client BaseClient) GetReadResult(ctx context.Context, operationID uuid.UUID) (result ReadOperationResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.GetReadResult")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.GetReadResultPreparer(ctx, operationID)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetReadResult", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.GetReadResultSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetReadResult", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.GetReadResultResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "GetReadResult", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// GetReadResultPreparer prepares the GetReadResult request.
+func (client BaseClient) GetReadResultPreparer(ctx context.Context, operationID uuid.UUID) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	pathParameters := map[string]interface{}{
+		"operationId": autorest.Encode("path", operationID),
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsGet(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPathParameters("/read/analyzeResults/{operationId}", pathParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// GetReadResultSender sends the GetReadResult request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) GetReadResultSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// GetReadResultResponder handles the response to the GetReadResult request. The method always
+// closes the http.Response Body.
+func (client BaseClient) GetReadResultResponder(resp *http.Response) (result ReadOperationResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// ListModels this operation returns the list of domain-specific models that are supported by the Computer Vision API.
+// Currently, the API supports following domain-specific models: celebrity recognizer, landmark recognizer.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+func (client BaseClient) ListModels(ctx context.Context) (result ListModelsResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.ListModels")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.ListModelsPreparer(ctx)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "ListModels", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.ListModelsSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "ListModels", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.ListModelsResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "ListModels", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// ListModelsPreparer prepares the ListModels request.
+func (client BaseClient) ListModelsPreparer(ctx context.Context) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsGet(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/models"))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// ListModelsSender sends the ListModels request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) ListModelsSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// ListModelsResponder handles the response to the ListModels request. The method always
+// closes the http.Response Body.
+func (client BaseClient) ListModelsResponder(resp *http.Response) (result ListModelsResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// Read use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character
+// Recognition (OCR) algorithms optimized for text-heavy documents. When you use the Read interface, the response
+// contains a field called 'Operation-Location'. The 'Operation-Location' field contains the URL that you must use for
+// your 'GetReadResult' operation to access OCR results.​
+// Parameters:
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// language - the BCP-47 language code of the text in the document. Currently, only English ('en'), Dutch
+// (‘nl’), French (‘fr’), German (‘de’), Italian (‘it’), Portuguese (‘pt), and Spanish ('es') are supported.
+// Read supports auto language identification and multi-language documents, so only provide a language code if
+// you would like to force the documented to be processed as that specific language.
+func (client BaseClient) Read(ctx context.Context, imageURL ImageURL, language OcrDetectionLanguage) (result autorest.Response, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.Read")
+		defer func() {
+			sc := -1
+			if result.Response != nil {
+				sc = result.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "Read", err.Error())
+	}
+
+	req, err := client.ReadPreparer(ctx, imageURL, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "Read", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.ReadSender(req)
+	if err != nil {
+		result.Response = resp
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "Read", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.ReadResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "Read", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// ReadPreparer prepares the Read request.
+func (client BaseClient) ReadPreparer(ctx context.Context, imageURL ImageURL, language OcrDetectionLanguage) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/read/analyze"),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// ReadSender sends the Read request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) ReadSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// ReadResponder handles the response to the Read request. The method always
+// closes the http.Response Body.
+func (client BaseClient) ReadResponder(resp *http.Response) (result autorest.Response, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK, http.StatusAccepted),
+		autorest.ByClosing())
+	result.Response = resp
+	return
+}
+
+// ReadInStream use this interface to get the result of a Read operation, employing the state-of-the-art Optical
+// Character Recognition (OCR) algorithms optimized for text-heavy documents. When you use the Read interface, the
+// response contains a field called 'Operation-Location'. The 'Operation-Location' field contains the URL that you must
+// use for your 'GetReadResult' operation to access OCR results.​
+// Parameters:
+// imageParameter - an image stream.
+// language - the BCP-47 language code of the text in the document. Currently, only English ('en'), Dutch
+// (‘nl’), French (‘fr’), German (‘de’), Italian (‘it’), Portuguese (‘pt), and Spanish ('es') are supported.
+// Read supports auto language identification and multi-language documents, so only provide a language code if
+// you would like to force the documented to be processed as that specific language.
+func (client BaseClient) ReadInStream(ctx context.Context, imageParameter io.ReadCloser, language OcrDetectionLanguage) (result autorest.Response, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.ReadInStream")
+		defer func() {
+			sc := -1
+			if result.Response != nil {
+				sc = result.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.ReadInStreamPreparer(ctx, imageParameter, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "ReadInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.ReadInStreamSender(req)
+	if err != nil {
+		result.Response = resp
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "ReadInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.ReadInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "ReadInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// ReadInStreamPreparer prepares the ReadInStream request.
+func (client BaseClient) ReadInStreamPreparer(ctx context.Context, imageParameter io.ReadCloser, language OcrDetectionLanguage) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/read/analyze"),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// ReadInStreamSender sends the ReadInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) ReadInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// ReadInStreamResponder handles the response to the ReadInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) ReadInStreamResponder(resp *http.Response) (result autorest.Response, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK, http.StatusAccepted),
+		autorest.ByClosing())
+	result.Response = resp
+	return
+}
+
+// RecognizePrintedText optical Character Recognition (OCR) detects text in an image and extracts the recognized
+// characters into a machine-usable character stream.
+// Upon success, the OCR results will be returned.
+// Upon failure, the error code together with an error message will be returned. The error code can be one of
+// InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, NotSupportedLanguage, or
+// InternalServerError.
+// Parameters:
+// detectOrientation - whether detect the text orientation in the image. With detectOrientation=true the OCR
+// service tries to detect the image orientation and correct it before further processing (e.g. if it's
+// upside-down).
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// language - the BCP-47 language code of the text to be detected in the image. The default value is 'unk'.
+func (client BaseClient) RecognizePrintedText(ctx context.Context, detectOrientation bool, imageURL ImageURL, language OcrLanguages) (result OcrResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.RecognizePrintedText")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "RecognizePrintedText", err.Error())
+	}
+
+	req, err := client.RecognizePrintedTextPreparer(ctx, detectOrientation, imageURL, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "RecognizePrintedText", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.RecognizePrintedTextSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "RecognizePrintedText", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.RecognizePrintedTextResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "RecognizePrintedText", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// RecognizePrintedTextPreparer prepares the RecognizePrintedText request.
+func (client BaseClient) RecognizePrintedTextPreparer(ctx context.Context, detectOrientation bool, imageURL ImageURL, language OcrLanguages) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{
+		"detectOrientation": autorest.Encode("query", detectOrientation),
+	}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "unk")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/ocr"),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// RecognizePrintedTextSender sends the RecognizePrintedText request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) RecognizePrintedTextSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// RecognizePrintedTextResponder handles the response to the RecognizePrintedText request. The method always
+// closes the http.Response Body.
+func (client BaseClient) RecognizePrintedTextResponder(resp *http.Response) (result OcrResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// RecognizePrintedTextInStream optical Character Recognition (OCR) detects text in an image and extracts the
+// recognized characters into a machine-usable character stream.
+// Upon success, the OCR results will be returned.
+// Upon failure, the error code together with an error message will be returned. The error code can be one of
+// InvalidImageUrl, InvalidImageFormat, InvalidImageSize, NotSupportedImage, NotSupportedLanguage, or
+// InternalServerError.
+// Parameters:
+// detectOrientation - whether detect the text orientation in the image. With detectOrientation=true the OCR
+// service tries to detect the image orientation and correct it before further processing (e.g. if it's
+// upside-down).
+// imageParameter - an image stream.
+// language - the BCP-47 language code of the text to be detected in the image. The default value is 'unk'.
+func (client BaseClient) RecognizePrintedTextInStream(ctx context.Context, detectOrientation bool, imageParameter io.ReadCloser, language OcrLanguages) (result OcrResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.RecognizePrintedTextInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.RecognizePrintedTextInStreamPreparer(ctx, detectOrientation, imageParameter, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "RecognizePrintedTextInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.RecognizePrintedTextInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "RecognizePrintedTextInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.RecognizePrintedTextInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "RecognizePrintedTextInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// RecognizePrintedTextInStreamPreparer prepares the RecognizePrintedTextInStream request.
+func (client BaseClient) RecognizePrintedTextInStreamPreparer(ctx context.Context, detectOrientation bool, imageParameter io.ReadCloser, language OcrLanguages) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{
+		"detectOrientation": autorest.Encode("query", detectOrientation),
+	}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "unk")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/ocr"),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// RecognizePrintedTextInStreamSender sends the RecognizePrintedTextInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) RecognizePrintedTextInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// RecognizePrintedTextInStreamResponder handles the response to the RecognizePrintedTextInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) RecognizePrintedTextInStreamResponder(resp *http.Response) (result OcrResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// TagImage this operation generates a list of words, or tags, that are relevant to the content of the supplied image.
+// The Computer Vision API can return tags based on objects, living beings, scenery or actions found in images. Unlike
+// categories, tags are not organized according to a hierarchical classification system, but correspond to image
+// content. Tags may contain hints to avoid ambiguity or provide context, for example the tag "ascomycete" may be
+// accompanied by the hint "fungus".
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageURL - a JSON document with a URL pointing to the image that is to be analyzed.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+func (client BaseClient) TagImage(ctx context.Context, imageURL ImageURL, language string) (result TagResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.TagImage")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	if err := validation.Validate([]validation.Validation{
+		{TargetValue: imageURL,
+			Constraints: []validation.Constraint{{Target: "imageURL.URL", Name: validation.Null, Rule: true, Chain: nil}}}}); err != nil {
+		return result, validation.NewError("computervision.BaseClient", "TagImage", err.Error())
+	}
+
+	req, err := client.TagImagePreparer(ctx, imageURL, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "TagImage", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.TagImageSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "TagImage", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.TagImageResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "TagImage", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// TagImagePreparer prepares the TagImage request.
+func (client BaseClient) TagImagePreparer(ctx context.Context, imageURL ImageURL, language string) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/json; charset=utf-8"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/tag"),
+		autorest.WithJSON(imageURL),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// TagImageSender sends the TagImage request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) TagImageSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// TagImageResponder handles the response to the TagImage request. The method always
+// closes the http.Response Body.
+func (client BaseClient) TagImageResponder(resp *http.Response) (result TagResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
+
+// TagImageInStream this operation generates a list of words, or tags, that are relevant to the content of the supplied
+// image. The Computer Vision API can return tags based on objects, living beings, scenery or actions found in images.
+// Unlike categories, tags are not organized according to a hierarchical classification system, but correspond to image
+// content. Tags may contain hints to avoid ambiguity or provide context, for example the tag "ascomycete" may be
+// accompanied by the hint "fungus".
+// Two input methods are supported -- (1) Uploading an image or (2) specifying an image URL.
+// A successful response will be returned in JSON. If the request failed, the response will contain an error code and a
+// message to help understand what went wrong.
+// Parameters:
+// imageParameter - an image stream.
+// language - the desired language for output generation. If this parameter is not specified, the default value
+// is "en".Supported languages:en - English, Default. es - Spanish, ja - Japanese, pt - Portuguese,
+// zh - Simplified Chinese.
+func (client BaseClient) TagImageInStream(ctx context.Context, imageParameter io.ReadCloser, language string) (result TagResult, err error) {
+	if tracing.IsEnabled() {
+		ctx = tracing.StartSpan(ctx, fqdn+"/BaseClient.TagImageInStream")
+		defer func() {
+			sc := -1
+			if result.Response.Response != nil {
+				sc = result.Response.Response.StatusCode
+			}
+			tracing.EndSpan(ctx, sc, err)
+		}()
+	}
+	req, err := client.TagImageInStreamPreparer(ctx, imageParameter, language)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "TagImageInStream", nil, "Failure preparing request")
+		return
+	}
+
+	resp, err := client.TagImageInStreamSender(req)
+	if err != nil {
+		result.Response = autorest.Response{Response: resp}
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "TagImageInStream", resp, "Failure sending request")
+		return
+	}
+
+	result, err = client.TagImageInStreamResponder(resp)
+	if err != nil {
+		err = autorest.NewErrorWithError(err, "computervision.BaseClient", "TagImageInStream", resp, "Failure responding to request")
+	}
+
+	return
+}
+
+// TagImageInStreamPreparer prepares the TagImageInStream request.
+func (client BaseClient) TagImageInStreamPreparer(ctx context.Context, imageParameter io.ReadCloser, language string) (*http.Request, error) {
+	urlParameters := map[string]interface{}{
+		"Endpoint": client.Endpoint,
+	}
+
+	queryParameters := map[string]interface{}{}
+	if len(string(language)) > 0 {
+		queryParameters["language"] = autorest.Encode("query", language)
+	} else {
+		queryParameters["language"] = autorest.Encode("query", "en")
+	}
+
+	preparer := autorest.CreatePreparer(
+		autorest.AsContentType("application/octet-stream"),
+		autorest.AsPost(),
+		autorest.WithCustomBaseURL("{Endpoint}/vision/v3.1", urlParameters),
+		autorest.WithPath("/tag"),
+		autorest.WithFile(imageParameter),
+		autorest.WithQueryParameters(queryParameters))
+	return preparer.Prepare((&http.Request{}).WithContext(ctx))
+}
+
+// TagImageInStreamSender sends the TagImageInStream request. The method will close the
+// http.Response Body if it receives an error.
+func (client BaseClient) TagImageInStreamSender(req *http.Request) (*http.Response, error) {
+	return client.Send(req, autorest.DoRetryForStatusCodes(client.RetryAttempts, client.RetryDuration, autorest.StatusCodesForRetry...))
+}
+
+// TagImageInStreamResponder handles the response to the TagImageInStream request. The method always
+// closes the http.Response Body.
+func (client BaseClient) TagImageInStreamResponder(resp *http.Response) (result TagResult, err error) {
+	err = autorest.Respond(
+		resp,
+		azure.WithErrorUnlessStatusCode(http.StatusOK),
+		autorest.ByUnmarshallingJSON(&result),
+		autorest.ByClosing())
+	result.Response = autorest.Response{Response: resp}
+	return
+}
diff --git a/services/cognitiveservices/v3.1/computervision/computervisionapi/interfaces.go b/services/cognitiveservices/v3.1/computervision/computervisionapi/interfaces.go
new file mode 100644
index 000000000000..682ee76d43c8
--- /dev/null
+++ b/services/cognitiveservices/v3.1/computervision/computervisionapi/interfaces.go
@@ -0,0 +1,52 @@
+package computervisionapi
+
+// Copyright (c) Microsoft and contributors.  All rights reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Code generated by Microsoft (R) AutoRest Code Generator.
+// Changes may cause incorrect behavior and will be lost if the code is regenerated.
+
+import (
+	"context"
+	"github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v3.1/computervision"
+	"github.com/Azure/go-autorest/autorest"
+	"github.com/satori/go.uuid"
+	"io"
+)
+
+// BaseClientAPI contains the set of methods on the BaseClient type.
+type BaseClientAPI interface {
+	AnalyzeImage(ctx context.Context, imageURL computervision.ImageURL, visualFeatures []computervision.VisualFeatureTypes, details []computervision.Details, language string, descriptionExclude []computervision.DescriptionExclude) (result computervision.ImageAnalysis, err error)
+	AnalyzeImageByDomain(ctx context.Context, model string, imageURL computervision.ImageURL, language string) (result computervision.DomainModelResults, err error)
+	AnalyzeImageByDomainInStream(ctx context.Context, model string, imageParameter io.ReadCloser, language string) (result computervision.DomainModelResults, err error)
+	AnalyzeImageInStream(ctx context.Context, imageParameter io.ReadCloser, visualFeatures []computervision.VisualFeatureTypes, details []computervision.Details, language string, descriptionExclude []computervision.DescriptionExclude) (result computervision.ImageAnalysis, err error)
+	DescribeImage(ctx context.Context, imageURL computervision.ImageURL, maxCandidates *int32, language string, descriptionExclude []computervision.DescriptionExclude) (result computervision.ImageDescription, err error)
+	DescribeImageInStream(ctx context.Context, imageParameter io.ReadCloser, maxCandidates *int32, language string, descriptionExclude []computervision.DescriptionExclude) (result computervision.ImageDescription, err error)
+	DetectObjects(ctx context.Context, imageURL computervision.ImageURL) (result computervision.DetectResult, err error)
+	DetectObjectsInStream(ctx context.Context, imageParameter io.ReadCloser) (result computervision.DetectResult, err error)
+	GenerateThumbnail(ctx context.Context, width int32, height int32, imageURL computervision.ImageURL, smartCropping *bool) (result computervision.ReadCloser, err error)
+	GenerateThumbnailInStream(ctx context.Context, width int32, height int32, imageParameter io.ReadCloser, smartCropping *bool) (result computervision.ReadCloser, err error)
+	GetAreaOfInterest(ctx context.Context, imageURL computervision.ImageURL) (result computervision.AreaOfInterestResult, err error)
+	GetAreaOfInterestInStream(ctx context.Context, imageParameter io.ReadCloser) (result computervision.AreaOfInterestResult, err error)
+	GetReadResult(ctx context.Context, operationID uuid.UUID) (result computervision.ReadOperationResult, err error)
+	ListModels(ctx context.Context) (result computervision.ListModelsResult, err error)
+	Read(ctx context.Context, imageURL computervision.ImageURL, language computervision.OcrDetectionLanguage) (result autorest.Response, err error)
+	ReadInStream(ctx context.Context, imageParameter io.ReadCloser, language computervision.OcrDetectionLanguage) (result autorest.Response, err error)
+	RecognizePrintedText(ctx context.Context, detectOrientation bool, imageURL computervision.ImageURL, language computervision.OcrLanguages) (result computervision.OcrResult, err error)
+	RecognizePrintedTextInStream(ctx context.Context, detectOrientation bool, imageParameter io.ReadCloser, language computervision.OcrLanguages) (result computervision.OcrResult, err error)
+	TagImage(ctx context.Context, imageURL computervision.ImageURL, language string) (result computervision.TagResult, err error)
+	TagImageInStream(ctx context.Context, imageParameter io.ReadCloser, language string) (result computervision.TagResult, err error)
+}
+
+var _ BaseClientAPI = (*computervision.BaseClient)(nil)
diff --git a/services/cognitiveservices/v3.1/computervision/enums.go b/services/cognitiveservices/v3.1/computervision/enums.go
new file mode 100644
index 000000000000..5c11a000cded
--- /dev/null
+++ b/services/cognitiveservices/v3.1/computervision/enums.go
@@ -0,0 +1,216 @@
+package computervision
+
+// Copyright (c) Microsoft and contributors.  All rights reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Code generated by Microsoft (R) AutoRest Code Generator.
+// Changes may cause incorrect behavior and will be lost if the code is regenerated.
+
+// DescriptionExclude enumerates the values for description exclude.
+type DescriptionExclude string
+
+const (
+	// Celebrities ...
+	Celebrities DescriptionExclude = "Celebrities"
+	// Landmarks ...
+	Landmarks DescriptionExclude = "Landmarks"
+)
+
+// PossibleDescriptionExcludeValues returns an array of possible values for the DescriptionExclude const type.
+func PossibleDescriptionExcludeValues() []DescriptionExclude {
+	return []DescriptionExclude{Celebrities, Landmarks}
+}
+
+// Details enumerates the values for details.
+type Details string
+
+const (
+	// DetailsCelebrities ...
+	DetailsCelebrities Details = "Celebrities"
+	// DetailsLandmarks ...
+	DetailsLandmarks Details = "Landmarks"
+)
+
+// PossibleDetailsValues returns an array of possible values for the Details const type.
+func PossibleDetailsValues() []Details {
+	return []Details{DetailsCelebrities, DetailsLandmarks}
+}
+
+// Gender enumerates the values for gender.
+type Gender string
+
+const (
+	// Female ...
+	Female Gender = "Female"
+	// Male ...
+	Male Gender = "Male"
+)
+
+// PossibleGenderValues returns an array of possible values for the Gender const type.
+func PossibleGenderValues() []Gender {
+	return []Gender{Female, Male}
+}
+
+// OcrDetectionLanguage enumerates the values for ocr detection language.
+type OcrDetectionLanguage string
+
+const (
+	// De ...
+	De OcrDetectionLanguage = "de"
+	// En ...
+	En OcrDetectionLanguage = "en"
+	// Es ...
+	Es OcrDetectionLanguage = "es"
+	// Fr ...
+	Fr OcrDetectionLanguage = "fr"
+	// It ...
+	It OcrDetectionLanguage = "it"
+	// Nl ...
+	Nl OcrDetectionLanguage = "nl"
+	// Pt ...
+	Pt OcrDetectionLanguage = "pt"
+)
+
+// PossibleOcrDetectionLanguageValues returns an array of possible values for the OcrDetectionLanguage const type.
+func PossibleOcrDetectionLanguageValues() []OcrDetectionLanguage {
+	return []OcrDetectionLanguage{De, En, Es, Fr, It, Nl, Pt}
+}
+
+// OcrLanguages enumerates the values for ocr languages.
+type OcrLanguages string
+
+const (
+	// OcrLanguagesAr ...
+	OcrLanguagesAr OcrLanguages = "ar"
+	// OcrLanguagesCs ...
+	OcrLanguagesCs OcrLanguages = "cs"
+	// OcrLanguagesDa ...
+	OcrLanguagesDa OcrLanguages = "da"
+	// OcrLanguagesDe ...
+	OcrLanguagesDe OcrLanguages = "de"
+	// OcrLanguagesEl ...
+	OcrLanguagesEl OcrLanguages = "el"
+	// OcrLanguagesEn ...
+	OcrLanguagesEn OcrLanguages = "en"
+	// OcrLanguagesEs ...
+	OcrLanguagesEs OcrLanguages = "es"
+	// OcrLanguagesFi ...
+	OcrLanguagesFi OcrLanguages = "fi"
+	// OcrLanguagesFr ...
+	OcrLanguagesFr OcrLanguages = "fr"
+	// OcrLanguagesHu ...
+	OcrLanguagesHu OcrLanguages = "hu"
+	// OcrLanguagesIt ...
+	OcrLanguagesIt OcrLanguages = "it"
+	// OcrLanguagesJa ...
+	OcrLanguagesJa OcrLanguages = "ja"
+	// OcrLanguagesKo ...
+	OcrLanguagesKo OcrLanguages = "ko"
+	// OcrLanguagesNb ...
+	OcrLanguagesNb OcrLanguages = "nb"
+	// OcrLanguagesNl ...
+	OcrLanguagesNl OcrLanguages = "nl"
+	// OcrLanguagesPl ...
+	OcrLanguagesPl OcrLanguages = "pl"
+	// OcrLanguagesPt ...
+	OcrLanguagesPt OcrLanguages = "pt"
+	// OcrLanguagesRo ...
+	OcrLanguagesRo OcrLanguages = "ro"
+	// OcrLanguagesRu ...
+	OcrLanguagesRu OcrLanguages = "ru"
+	// OcrLanguagesSk ...
+	OcrLanguagesSk OcrLanguages = "sk"
+	// OcrLanguagesSrCyrl ...
+	OcrLanguagesSrCyrl OcrLanguages = "sr-Cyrl"
+	// OcrLanguagesSrLatn ...
+	OcrLanguagesSrLatn OcrLanguages = "sr-Latn"
+	// OcrLanguagesSv ...
+	OcrLanguagesSv OcrLanguages = "sv"
+	// OcrLanguagesTr ...
+	OcrLanguagesTr OcrLanguages = "tr"
+	// OcrLanguagesUnk ...
+	OcrLanguagesUnk OcrLanguages = "unk"
+	// OcrLanguagesZhHans ...
+	OcrLanguagesZhHans OcrLanguages = "zh-Hans"
+	// OcrLanguagesZhHant ...
+	OcrLanguagesZhHant OcrLanguages = "zh-Hant"
+)
+
+// PossibleOcrLanguagesValues returns an array of possible values for the OcrLanguages const type.
+func PossibleOcrLanguagesValues() []OcrLanguages {
+	return []OcrLanguages{OcrLanguagesAr, OcrLanguagesCs, OcrLanguagesDa, OcrLanguagesDe, OcrLanguagesEl, OcrLanguagesEn, OcrLanguagesEs, OcrLanguagesFi, OcrLanguagesFr, OcrLanguagesHu, OcrLanguagesIt, OcrLanguagesJa, OcrLanguagesKo, OcrLanguagesNb, OcrLanguagesNl, OcrLanguagesPl, OcrLanguagesPt, OcrLanguagesRo, OcrLanguagesRu, OcrLanguagesSk, OcrLanguagesSrCyrl, OcrLanguagesSrLatn, OcrLanguagesSv, OcrLanguagesTr, OcrLanguagesUnk, OcrLanguagesZhHans, OcrLanguagesZhHant}
+}
+
+// OperationStatusCodes enumerates the values for operation status codes.
+type OperationStatusCodes string
+
+const (
+	// Failed ...
+	Failed OperationStatusCodes = "failed"
+	// NotStarted ...
+	NotStarted OperationStatusCodes = "notStarted"
+	// Running ...
+	Running OperationStatusCodes = "running"
+	// Succeeded ...
+	Succeeded OperationStatusCodes = "succeeded"
+)
+
+// PossibleOperationStatusCodesValues returns an array of possible values for the OperationStatusCodes const type.
+func PossibleOperationStatusCodesValues() []OperationStatusCodes {
+	return []OperationStatusCodes{Failed, NotStarted, Running, Succeeded}
+}
+
+// TextRecognitionResultDimensionUnit enumerates the values for text recognition result dimension unit.
+type TextRecognitionResultDimensionUnit string
+
+const (
+	// Inch ...
+	Inch TextRecognitionResultDimensionUnit = "inch"
+	// Pixel ...
+	Pixel TextRecognitionResultDimensionUnit = "pixel"
+)
+
+// PossibleTextRecognitionResultDimensionUnitValues returns an array of possible values for the TextRecognitionResultDimensionUnit const type.
+func PossibleTextRecognitionResultDimensionUnitValues() []TextRecognitionResultDimensionUnit {
+	return []TextRecognitionResultDimensionUnit{Inch, Pixel}
+}
+
+// VisualFeatureTypes enumerates the values for visual feature types.
+type VisualFeatureTypes string
+
+const (
+	// VisualFeatureTypesAdult ...
+	VisualFeatureTypesAdult VisualFeatureTypes = "Adult"
+	// VisualFeatureTypesBrands ...
+	VisualFeatureTypesBrands VisualFeatureTypes = "Brands"
+	// VisualFeatureTypesCategories ...
+	VisualFeatureTypesCategories VisualFeatureTypes = "Categories"
+	// VisualFeatureTypesColor ...
+	VisualFeatureTypesColor VisualFeatureTypes = "Color"
+	// VisualFeatureTypesDescription ...
+	VisualFeatureTypesDescription VisualFeatureTypes = "Description"
+	// VisualFeatureTypesFaces ...
+	VisualFeatureTypesFaces VisualFeatureTypes = "Faces"
+	// VisualFeatureTypesImageType ...
+	VisualFeatureTypesImageType VisualFeatureTypes = "ImageType"
+	// VisualFeatureTypesObjects ...
+	VisualFeatureTypesObjects VisualFeatureTypes = "Objects"
+	// VisualFeatureTypesTags ...
+	VisualFeatureTypesTags VisualFeatureTypes = "Tags"
+)
+
+// PossibleVisualFeatureTypesValues returns an array of possible values for the VisualFeatureTypes const type.
+func PossibleVisualFeatureTypesValues() []VisualFeatureTypes {
+	return []VisualFeatureTypes{VisualFeatureTypesAdult, VisualFeatureTypesBrands, VisualFeatureTypesCategories, VisualFeatureTypesColor, VisualFeatureTypesDescription, VisualFeatureTypesFaces, VisualFeatureTypesImageType, VisualFeatureTypesObjects, VisualFeatureTypesTags}
+}
diff --git a/services/cognitiveservices/v3.1/computervision/models.go b/services/cognitiveservices/v3.1/computervision/models.go
new file mode 100644
index 000000000000..74bb2d26de8a
--- /dev/null
+++ b/services/cognitiveservices/v3.1/computervision/models.go
@@ -0,0 +1,533 @@
+package computervision
+
+// Copyright (c) Microsoft and contributors.  All rights reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Code generated by Microsoft (R) AutoRest Code Generator.
+// Changes may cause incorrect behavior and will be lost if the code is regenerated.
+
+import (
+	"encoding/json"
+	"github.com/Azure/go-autorest/autorest"
+	"io"
+)
+
+// The package's fully qualified name.
+const fqdn = "github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v3.1/computervision"
+
+// AdultInfo an object describing whether the image contains adult-oriented content and/or is racy.
+type AdultInfo struct {
+	// IsAdultContent - A value indicating if the image contains adult-oriented content.
+	IsAdultContent *bool `json:"isAdultContent,omitempty"`
+	// IsRacyContent - A value indicating if the image is racy.
+	IsRacyContent *bool `json:"isRacyContent,omitempty"`
+	// IsGoryContent - A value indicating if the image is gory.
+	IsGoryContent *bool `json:"isGoryContent,omitempty"`
+	// AdultScore - Score from 0 to 1 that indicates how much the content is considered adult-oriented within the image.
+	AdultScore *float64 `json:"adultScore,omitempty"`
+	// RacyScore - Score from 0 to 1 that indicates how suggestive is the image.
+	RacyScore *float64 `json:"racyScore,omitempty"`
+	// GoreScore - Score from 0 to 1 that indicates how gory is the image.
+	GoreScore *float64 `json:"goreScore,omitempty"`
+}
+
+// AnalyzeResults analyze batch operation result.
+type AnalyzeResults struct {
+	// Version - Version of schema used for this result.
+	Version *string `json:"version,omitempty"`
+	// ReadResults - Text extracted from the input.
+	ReadResults *[]ReadResult `json:"readResults,omitempty"`
+}
+
+// AreaOfInterestResult result of AreaOfInterest operation.
+type AreaOfInterestResult struct {
+	autorest.Response `json:"-"`
+	// AreaOfInterest - READ-ONLY; A bounding box for an area of interest inside an image.
+	AreaOfInterest *BoundingRect `json:"areaOfInterest,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// MarshalJSON is the custom marshaler for AreaOfInterestResult.
+func (aoir AreaOfInterestResult) MarshalJSON() ([]byte, error) {
+	objectMap := make(map[string]interface{})
+	if aoir.RequestID != nil {
+		objectMap["requestId"] = aoir.RequestID
+	}
+	if aoir.Metadata != nil {
+		objectMap["metadata"] = aoir.Metadata
+	}
+	return json.Marshal(objectMap)
+}
+
+// BoundingRect a bounding box for an area inside an image.
+type BoundingRect struct {
+	// X - X-coordinate of the top left point of the area, in pixels.
+	X *int32 `json:"x,omitempty"`
+	// Y - Y-coordinate of the top left point of the area, in pixels.
+	Y *int32 `json:"y,omitempty"`
+	// W - Width measured from the top-left point of the area, in pixels.
+	W *int32 `json:"w,omitempty"`
+	// H - Height measured from the top-left point of the area, in pixels.
+	H *int32 `json:"h,omitempty"`
+}
+
+// Category an object describing identified category.
+type Category struct {
+	// Name - Name of the category.
+	Name *string `json:"name,omitempty"`
+	// Score - Scoring of the category.
+	Score *float64 `json:"score,omitempty"`
+	// Detail - Details of the identified category.
+	Detail *CategoryDetail `json:"detail,omitempty"`
+}
+
+// CategoryDetail an object describing additional category details.
+type CategoryDetail struct {
+	// Celebrities - An array of celebrities if any identified.
+	Celebrities *[]CelebritiesModel `json:"celebrities,omitempty"`
+	// Landmarks - An array of landmarks if any identified.
+	Landmarks *[]LandmarksModel `json:"landmarks,omitempty"`
+}
+
+// CelebritiesModel an object describing possible celebrity identification.
+type CelebritiesModel struct {
+	// Name - Name of the celebrity.
+	Name *string `json:"name,omitempty"`
+	// Confidence - Confidence level for the celebrity recognition as a value ranging from 0 to 1.
+	Confidence *float64 `json:"confidence,omitempty"`
+	// FaceRectangle - Location of the identified face in the image.
+	FaceRectangle *FaceRectangle `json:"faceRectangle,omitempty"`
+}
+
+// CelebrityResults result of domain-specific classifications for the domain of celebrities.
+type CelebrityResults struct {
+	// Celebrities - List of celebrities recognized in the image.
+	Celebrities *[]CelebritiesModel `json:"celebrities,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// ColorInfo an object providing additional metadata describing color attributes.
+type ColorInfo struct {
+	// DominantColorForeground - Possible dominant foreground color.
+	DominantColorForeground *string `json:"dominantColorForeground,omitempty"`
+	// DominantColorBackground - Possible dominant background color.
+	DominantColorBackground *string `json:"dominantColorBackground,omitempty"`
+	// DominantColors - An array of possible dominant colors.
+	DominantColors *[]string `json:"dominantColors,omitempty"`
+	// AccentColor - Possible accent color.
+	AccentColor *string `json:"accentColor,omitempty"`
+	// IsBWImg - A value indicating if the image is black and white.
+	IsBWImg *bool `json:"isBWImg,omitempty"`
+}
+
+// DetectedBrand a brand detected in an image.
+type DetectedBrand struct {
+	// Name - READ-ONLY; Label for the brand.
+	Name *string `json:"name,omitempty"`
+	// Confidence - READ-ONLY; Confidence score of having observed the brand in the image, as a value ranging from 0 to 1.
+	Confidence *float64 `json:"confidence,omitempty"`
+	// Rectangle - READ-ONLY; Approximate location of the detected brand.
+	Rectangle *BoundingRect `json:"rectangle,omitempty"`
+}
+
+// DetectedObject an object detected in an image.
+type DetectedObject struct {
+	// Rectangle - READ-ONLY; Approximate location of the detected object.
+	Rectangle *BoundingRect `json:"rectangle,omitempty"`
+	// Object - Label for the object.
+	Object *string `json:"object,omitempty"`
+	// Confidence - Confidence score of having observed the object in the image, as a value ranging from 0 to 1.
+	Confidence *float64 `json:"confidence,omitempty"`
+	// Parent - The parent object, from a taxonomy perspective.
+	// The parent object is a more generic form of this object.  For example, a 'bulldog' would have a parent of 'dog'.
+	Parent *ObjectHierarchy `json:"parent,omitempty"`
+}
+
+// MarshalJSON is the custom marshaler for DetectedObject.
+func (do DetectedObject) MarshalJSON() ([]byte, error) {
+	objectMap := make(map[string]interface{})
+	if do.Object != nil {
+		objectMap["object"] = do.Object
+	}
+	if do.Confidence != nil {
+		objectMap["confidence"] = do.Confidence
+	}
+	if do.Parent != nil {
+		objectMap["parent"] = do.Parent
+	}
+	return json.Marshal(objectMap)
+}
+
+// DetectResult result of a DetectImage call.
+type DetectResult struct {
+	autorest.Response `json:"-"`
+	// Objects - READ-ONLY; An array of detected objects.
+	Objects *[]DetectedObject `json:"objects,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// MarshalJSON is the custom marshaler for DetectResult.
+func (dr DetectResult) MarshalJSON() ([]byte, error) {
+	objectMap := make(map[string]interface{})
+	if dr.RequestID != nil {
+		objectMap["requestId"] = dr.RequestID
+	}
+	if dr.Metadata != nil {
+		objectMap["metadata"] = dr.Metadata
+	}
+	return json.Marshal(objectMap)
+}
+
+// DomainModelResults result of image analysis using a specific domain model including additional metadata.
+type DomainModelResults struct {
+	autorest.Response `json:"-"`
+	// Result - Model-specific response.
+	Result interface{} `json:"result,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// Error details about the API request error.
+type Error struct {
+	// Code - The error code.
+	Code interface{} `json:"code,omitempty"`
+	// Message - A message explaining the error reported by the service.
+	Message *string `json:"message,omitempty"`
+	// RequestID - A unique request identifier.
+	RequestID *string `json:"requestId,omitempty"`
+}
+
+// FaceDescription an object describing a face identified in the image.
+type FaceDescription struct {
+	// Age - Possible age of the face.
+	Age *int32 `json:"age,omitempty"`
+	// Gender - Possible gender of the face. Possible values include: 'Male', 'Female'
+	Gender Gender `json:"gender,omitempty"`
+	// FaceRectangle - Rectangle in the image containing the identified face.
+	FaceRectangle *FaceRectangle `json:"faceRectangle,omitempty"`
+}
+
+// FaceRectangle an object describing face rectangle.
+type FaceRectangle struct {
+	// Left - X-coordinate of the top left point of the face, in pixels.
+	Left *int32 `json:"left,omitempty"`
+	// Top - Y-coordinate of the top left point of the face, in pixels.
+	Top *int32 `json:"top,omitempty"`
+	// Width - Width measured from the top-left point of the face, in pixels.
+	Width *int32 `json:"width,omitempty"`
+	// Height - Height measured from the top-left point of the face, in pixels.
+	Height *int32 `json:"height,omitempty"`
+}
+
+// ImageAnalysis result of AnalyzeImage operation.
+type ImageAnalysis struct {
+	autorest.Response `json:"-"`
+	// Categories - An array indicating identified categories.
+	Categories *[]Category `json:"categories,omitempty"`
+	// Adult - An object describing whether the image contains adult-oriented content and/or is racy.
+	Adult *AdultInfo `json:"adult,omitempty"`
+	// Color - An object providing additional metadata describing color attributes.
+	Color *ColorInfo `json:"color,omitempty"`
+	// ImageType - An object providing possible image types and matching confidence levels.
+	ImageType *ImageType `json:"imageType,omitempty"`
+	// Tags - A list of tags with confidence level.
+	Tags *[]ImageTag `json:"tags,omitempty"`
+	// Description - A collection of content tags, along with a list of captions sorted by confidence level, and image metadata.
+	Description *ImageDescriptionDetails `json:"description,omitempty"`
+	// Faces - An array of possible faces within the image.
+	Faces *[]FaceDescription `json:"faces,omitempty"`
+	// Objects - Array of objects describing what was detected in the image.
+	Objects *[]DetectedObject `json:"objects,omitempty"`
+	// Brands - Array of brands detected in the image.
+	Brands *[]DetectedBrand `json:"brands,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// ImageCaption an image caption, i.e. a brief description of what the image depicts.
+type ImageCaption struct {
+	// Text - The text of the caption.
+	Text *string `json:"text,omitempty"`
+	// Confidence - The level of confidence the service has in the caption.
+	Confidence *float64 `json:"confidence,omitempty"`
+}
+
+// ImageDescription a collection of content tags, along with a list of captions sorted by confidence level, and
+// image metadata.
+type ImageDescription struct {
+	autorest.Response `json:"-"`
+	// ImageDescriptionDetails - A collection of content tags, along with a list of captions sorted by confidence level, and image metadata.
+	*ImageDescriptionDetails `json:"description,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// MarshalJSON is the custom marshaler for ImageDescription.
+func (ID ImageDescription) MarshalJSON() ([]byte, error) {
+	objectMap := make(map[string]interface{})
+	if ID.ImageDescriptionDetails != nil {
+		objectMap["description"] = ID.ImageDescriptionDetails
+	}
+	if ID.RequestID != nil {
+		objectMap["requestId"] = ID.RequestID
+	}
+	if ID.Metadata != nil {
+		objectMap["metadata"] = ID.Metadata
+	}
+	return json.Marshal(objectMap)
+}
+
+// UnmarshalJSON is the custom unmarshaler for ImageDescription struct.
+func (ID *ImageDescription) UnmarshalJSON(body []byte) error {
+	var m map[string]*json.RawMessage
+	err := json.Unmarshal(body, &m)
+	if err != nil {
+		return err
+	}
+	for k, v := range m {
+		switch k {
+		case "description":
+			if v != nil {
+				var imageDescriptionDetails ImageDescriptionDetails
+				err = json.Unmarshal(*v, &imageDescriptionDetails)
+				if err != nil {
+					return err
+				}
+				ID.ImageDescriptionDetails = &imageDescriptionDetails
+			}
+		case "requestId":
+			if v != nil {
+				var requestID string
+				err = json.Unmarshal(*v, &requestID)
+				if err != nil {
+					return err
+				}
+				ID.RequestID = &requestID
+			}
+		case "metadata":
+			if v != nil {
+				var metadata ImageMetadata
+				err = json.Unmarshal(*v, &metadata)
+				if err != nil {
+					return err
+				}
+				ID.Metadata = &metadata
+			}
+		}
+	}
+
+	return nil
+}
+
+// ImageDescriptionDetails a collection of content tags, along with a list of captions sorted by confidence
+// level, and image metadata.
+type ImageDescriptionDetails struct {
+	// Tags - A collection of image tags.
+	Tags *[]string `json:"tags,omitempty"`
+	// Captions - A list of captions, sorted by confidence level.
+	Captions *[]ImageCaption `json:"captions,omitempty"`
+}
+
+// ImageMetadata image metadata.
+type ImageMetadata struct {
+	// Width - Image width, in pixels.
+	Width *int32 `json:"width,omitempty"`
+	// Height - Image height, in pixels.
+	Height *int32 `json:"height,omitempty"`
+	// Format - Image format.
+	Format *string `json:"format,omitempty"`
+}
+
+// ImageTag an entity observation in the image, along with the confidence score.
+type ImageTag struct {
+	// Name - Name of the entity.
+	Name *string `json:"name,omitempty"`
+	// Confidence - The level of confidence that the entity was observed.
+	Confidence *float64 `json:"confidence,omitempty"`
+	// Hint - Optional hint/details for this tag.
+	Hint *string `json:"hint,omitempty"`
+}
+
+// ImageType an object providing possible image types and matching confidence levels.
+type ImageType struct {
+	// ClipArtType - Confidence level that the image is a clip art.
+	ClipArtType *int32 `json:"clipArtType,omitempty"`
+	// LineDrawingType - Confidence level that the image is a line drawing.
+	LineDrawingType *int32 `json:"lineDrawingType,omitempty"`
+}
+
+// ImageURL ...
+type ImageURL struct {
+	// URL - Publicly reachable URL of an image.
+	URL *string `json:"url,omitempty"`
+}
+
+// LandmarkResults result of domain-specific classifications for the domain of landmarks.
+type LandmarkResults struct {
+	// Landmarks - List of landmarks recognized in the image.
+	Landmarks *[]LandmarksModel `json:"landmarks,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// LandmarksModel a landmark recognized in the image.
+type LandmarksModel struct {
+	// Name - Name of the landmark.
+	Name *string `json:"name,omitempty"`
+	// Confidence - Confidence level for the landmark recognition as a value ranging from 0 to 1.
+	Confidence *float64 `json:"confidence,omitempty"`
+}
+
+// Line an object representing a recognized text line.
+type Line struct {
+	// Language - The BCP-47 language code of the recognized text line. Only provided where the language of the line differs from the page's.
+	Language *string `json:"language,omitempty"`
+	// BoundingBox - Bounding box of a recognized line.
+	BoundingBox *[]float64 `json:"boundingBox,omitempty"`
+	// Text - The text content of the line.
+	Text *string `json:"text,omitempty"`
+	// Words - List of words in the text line.
+	Words *[]Word `json:"words,omitempty"`
+}
+
+// ListModelsResult result of the List Domain Models operation.
+type ListModelsResult struct {
+	autorest.Response `json:"-"`
+	// ModelsProperty - READ-ONLY; An array of supported models.
+	ModelsProperty *[]ModelDescription `json:"models,omitempty"`
+}
+
+// ModelDescription an object describing supported model by name and categories.
+type ModelDescription struct {
+	// Name - The name of the model.
+	Name *string `json:"name,omitempty"`
+	// Categories - Categories of the model.
+	Categories *[]string `json:"categories,omitempty"`
+}
+
+// ObjectHierarchy an object detected inside an image.
+type ObjectHierarchy struct {
+	// Object - Label for the object.
+	Object *string `json:"object,omitempty"`
+	// Confidence - Confidence score of having observed the object in the image, as a value ranging from 0 to 1.
+	Confidence *float64 `json:"confidence,omitempty"`
+	// Parent - The parent object, from a taxonomy perspective.
+	// The parent object is a more generic form of this object.  For example, a 'bulldog' would have a parent of 'dog'.
+	Parent *ObjectHierarchy `json:"parent,omitempty"`
+}
+
+// OcrLine an object describing a single recognized line of text.
+type OcrLine struct {
+	// BoundingBox - Bounding box of a recognized line. The four integers represent the x-coordinate of the left edge, the y-coordinate of the top edge, width, and height of the bounding box, in the coordinate system of the input image, after it has been rotated around its center according to the detected text angle (see textAngle property), with the origin at the top-left corner, and the y-axis pointing down.
+	BoundingBox *string `json:"boundingBox,omitempty"`
+	// Words - An array of objects, where each object represents a recognized word.
+	Words *[]OcrWord `json:"words,omitempty"`
+}
+
+// OcrRegion a region consists of multiple lines (e.g. a column of text in a multi-column document).
+type OcrRegion struct {
+	// BoundingBox - Bounding box of a recognized region. The four integers represent the x-coordinate of the left edge, the y-coordinate of the top edge, width, and height of the bounding box, in the coordinate system of the input image, after it has been rotated around its center according to the detected text angle (see textAngle property), with the origin at the top-left corner, and the y-axis pointing down.
+	BoundingBox *string `json:"boundingBox,omitempty"`
+	// Lines - An array of recognized lines of text.
+	Lines *[]OcrLine `json:"lines,omitempty"`
+}
+
+// OcrResult ...
+type OcrResult struct {
+	autorest.Response `json:"-"`
+	// Language - The BCP-47 language code of the text in the image.
+	Language *string `json:"language,omitempty"`
+	// TextAngle - The angle, in radians, of the detected text with respect to the closest horizontal or vertical direction. After rotating the input image clockwise by this angle, the recognized text lines become horizontal or vertical. In combination with the orientation property it can be used to overlay recognition results correctly on the original image, by rotating either the original image or recognition results by a suitable angle around the center of the original image. If the angle cannot be confidently detected, this property is not present. If the image contains text at different angles, only part of the text will be recognized correctly.
+	TextAngle *float64 `json:"textAngle,omitempty"`
+	// Orientation - Orientation of the text recognized in the image, if requested. The value (up, down, left, or right) refers to the direction that the top of the recognized text is facing, after the image has been rotated around its center according to the detected text angle (see textAngle property).
+	// If detection of the orientation was not requested, or no text is detected, the value is 'NotDetected'.
+	Orientation *string `json:"orientation,omitempty"`
+	// Regions - An array of objects, where each object represents a region of recognized text.
+	Regions *[]OcrRegion `json:"regions,omitempty"`
+}
+
+// OcrWord information on a recognized word.
+type OcrWord struct {
+	// BoundingBox - Bounding box of a recognized word. The four integers represent the x-coordinate of the left edge, the y-coordinate of the top edge, width, and height of the bounding box, in the coordinate system of the input image, after it has been rotated around its center according to the detected text angle (see textAngle property), with the origin at the top-left corner, and the y-axis pointing down.
+	BoundingBox *string `json:"boundingBox,omitempty"`
+	// Text - String value of a recognized word.
+	Text *string `json:"text,omitempty"`
+}
+
+// ReadCloser ...
+type ReadCloser struct {
+	autorest.Response `json:"-"`
+	Value             *io.ReadCloser `json:"value,omitempty"`
+}
+
+// ReadOperationResult OCR result of the read operation.
+type ReadOperationResult struct {
+	autorest.Response `json:"-"`
+	// Status - Status of the read operation. Possible values include: 'NotStarted', 'Running', 'Failed', 'Succeeded'
+	Status OperationStatusCodes `json:"status,omitempty"`
+	// CreatedDateTime - Get UTC date time the batch operation was submitted.
+	CreatedDateTime *string `json:"createdDateTime,omitempty"`
+	// LastUpdatedDateTime - Get last updated UTC date time of this batch operation.
+	LastUpdatedDateTime *string `json:"lastUpdatedDateTime,omitempty"`
+	// AnalyzeResult - Analyze batch operation result.
+	AnalyzeResult *AnalyzeResults `json:"analyzeResult,omitempty"`
+}
+
+// ReadResult text extracted from a page in the input document.
+type ReadResult struct {
+	// Page - The 1-based page number of the recognition result.
+	Page *int32 `json:"page,omitempty"`
+	// Language - The BCP-47 language code of the recognized text page.
+	Language *string `json:"language,omitempty"`
+	// Angle - The orientation of the image in degrees in the clockwise direction. Range between [-180, 180).
+	Angle *float64 `json:"angle,omitempty"`
+	// Width - The width of the image in pixels or the PDF in inches.
+	Width *float64 `json:"width,omitempty"`
+	// Height - The height of the image in pixels or the PDF in inches.
+	Height *float64 `json:"height,omitempty"`
+	// Unit - The unit used in the Width, Height and BoundingBox. For images, the unit is 'pixel'. For PDF, the unit is 'inch'. Possible values include: 'Pixel', 'Inch'
+	Unit TextRecognitionResultDimensionUnit `json:"unit,omitempty"`
+	// Lines - A list of recognized text lines.
+	Lines *[]Line `json:"lines,omitempty"`
+}
+
+// TagResult the results of a image tag operation, including any tags and image metadata.
+type TagResult struct {
+	autorest.Response `json:"-"`
+	// Tags - A list of tags with confidence level.
+	Tags *[]ImageTag `json:"tags,omitempty"`
+	// RequestID - Id of the REST API request.
+	RequestID *string        `json:"requestId,omitempty"`
+	Metadata  *ImageMetadata `json:"metadata,omitempty"`
+}
+
+// Word an object representing a recognized word.
+type Word struct {
+	// BoundingBox - Bounding box of a recognized word.
+	BoundingBox *[]float64 `json:"boundingBox,omitempty"`
+	// Text - The text content of the word.
+	Text *string `json:"text,omitempty"`
+	// Confidence - Qualitative confidence measure.
+	Confidence *float64 `json:"confidence,omitempty"`
+}
diff --git a/services/cognitiveservices/v3.1/computervision/version.go b/services/cognitiveservices/v3.1/computervision/version.go
new file mode 100644
index 000000000000..c1dccd7c1e7f
--- /dev/null
+++ b/services/cognitiveservices/v3.1/computervision/version.go
@@ -0,0 +1,30 @@
+package computervision
+
+import "github.com/Azure/azure-sdk-for-go/version"
+
+// Copyright (c) Microsoft and contributors.  All rights reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Code generated by Microsoft (R) AutoRest Code Generator.
+// Changes may cause incorrect behavior and will be lost if the code is regenerated.
+
+// UserAgent returns the UserAgent string to use when sending http.Requests.
+func UserAgent() string {
+	return "Azure-SDK-For-Go/" + Version() + " computervision/3.1"
+}
+
+// Version returns the semantic version (see http://semver.org) of the client.
+func Version() string {
+	return version.Number
+}