diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionAnalyzeTests/AnalyzeBrandsTest.json b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionAnalyzeTests/AnalyzeBrandsTest.json
new file mode 100644
index 000000000000..d0114fcb44bb
--- /dev/null
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionAnalyzeTests/AnalyzeBrandsTest.json
@@ -0,0 +1,54 @@
+{
+  "Entries": [
+    {
+      "RequestUri": "/vision/v2.0/analyze?visualFeatures=Brands",
+      "EncodedRequestUri": "L3Zpc2lvbi92Mi4wL2FuYWx5emU/dmlzdWFsRmVhdHVyZXM9QnJhbmRz",
+      "RequestMethod": "POST",
+      "RequestBody": 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",
+      "RequestHeaders": {
+        "Ocp-Apim-Subscription-Key": [
+          ""
+        ],
+        "User-Agent": [
+          "FxVersion/4.6.26614.01",
+          "OSName/Windows",
+          "OSVersion/Microsoft.Windows.10.0.17763.",
+          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.4.0.0"
+        ],
+        "Content-Type": [
+          "application/octet-stream"
+        ],
+        "Content-Length": [
+          "58183"
+        ]
+      },
+      "ResponseHeaders": {
+        "Connection": [
+          "close"
+        ],
+        "Date": [
+          "Fri, 01 Mar 2019 02:02:55 GMT"
+        ],
+        "apim-request-id": [
+          "20407890-b27d-43bf-a185-e1e2185589f5"
+        ],
+        "Strict-Transport-Security": [
+          "max-age=31536000; includeSubDomains; preload"
+        ],
+        "x-content-type-options": [
+          "nosniff"
+        ],
+        "Content-Length": [
+          "201"
+        ],
+        "Content-Type": [
+          "application/json; charset=utf-8"
+        ]
+      },
+      "ResponseBody": "{\r\n  \"brands\": [\r\n    {\r\n      \"name\": \"Microsoft\",\r\n      \"confidence\": 0.649,\r\n      \"rectangle\": {\r\n        \"x\": 410,\r\n        \"y\": 307,\r\n        \"w\": 69,\r\n        \"h\": 62\r\n      }\r\n    }\r\n  ],\r\n  \"requestId\": \"20407890-b27d-43bf-a185-e1e2185589f5\",\r\n  \"metadata\": {\r\n    \"width\": 960,\r\n    \"height\": 640,\r\n    \"format\": \"Jpeg\"\r\n  }\r\n}",
+      "StatusCode": 200
+    }
+  ],
+  "Names": {},
+  "Variables": {}
+}
\ No newline at end of file
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionRecognizeTextTests/RecognizeTextInStreamTest.json b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionRecognizeTextTests/RecognizeTextInStreamTest.json
index aea8fb69caa9..4ca167edf4a6 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionRecognizeTextTests/RecognizeTextInStreamTest.json
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionRecognizeTextTests/RecognizeTextInStreamTest.json
@@ -10,8 +10,10 @@
           ""
         ],
         "User-Agent": [
-          "FxVersion/4.6.25211.01",
-          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.2.0.0"
+          "FxVersion/4.6.26614.01",
+          "OSName/Windows",
+          "OSVersion/Microsoft.Windows.10.0.17763.",
+          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.3.0.0"
         ],
         "Content-Type": [
           "application/octet-stream"
@@ -25,13 +27,13 @@
           "no-cache"
         ],
         "Date": [
-          "Mon, 30 Jul 2018 21:58:44 GMT"
+          "Tue, 05 Mar 2019 18:42:03 GMT"
         ],
         "Pragma": [
           "no-cache"
         ],
         "Operation-Location": [
-          "https://westus.api.cognitive.microsoft.com/vision/v2.0/textOperations/dc2ec7b5-fb7a-4152-a91a-f005abb9a97f"
+          "https://westus.api.cognitive.microsoft.com/vision/v2.0/textOperations/a17251bc-c749-4f64-95ec-29496e22c552"
         ],
         "X-AspNet-Version": [
           "4.0.30319"
@@ -40,7 +42,7 @@
           "ASP.NET"
         ],
         "apim-request-id": [
-          "336fb2ac-796b-48b1-bb29-5a480a0d8d87"
+          "bed61bac-7fa1-4a79-93b2-b00f6e0ba970"
         ],
         "Strict-Transport-Security": [
           "max-age=31536000; includeSubDomains; preload"
@@ -59,8 +61,8 @@
       "StatusCode": 202
     },
     {
-      "RequestUri": "/vision/v2.0/textOperations/dc2ec7b5-fb7a-4152-a91a-f005abb9a97f",
-      "EncodedRequestUri": "L3Zpc2lvbi92Mi4wL3RleHRPcGVyYXRpb25zL2RjMmVjN2I1LWZiN2EtNDE1Mi1hOTFhLWYwMDVhYmI5YTk3Zg==",
+      "RequestUri": "/vision/v2.0/textOperations/a17251bc-c749-4f64-95ec-29496e22c552",
+      "EncodedRequestUri": "L3Zpc2lvbi92Mi4wL3RleHRPcGVyYXRpb25zL2ExNzI1MWJjLWM3NDktNGY2NC05NWVjLTI5NDk2ZTIyYzU1Mg==",
       "RequestMethod": "GET",
       "RequestBody": "",
       "RequestHeaders": {
@@ -68,8 +70,10 @@
           ""
         ],
         "User-Agent": [
-          "FxVersion/4.6.25211.01",
-          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.2.0.0"
+          "FxVersion/4.6.26614.01",
+          "OSName/Windows",
+          "OSVersion/Microsoft.Windows.10.0.17763.",
+          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.3.0.0"
         ]
       },
       "ResponseHeaders": {
@@ -77,7 +81,7 @@
           "no-cache"
         ],
         "Date": [
-          "Mon, 30 Jul 2018 21:58:44 GMT"
+          "Tue, 05 Mar 2019 18:42:03 GMT"
         ],
         "Pragma": [
           "no-cache"
@@ -89,7 +93,7 @@
           "ASP.NET"
         ],
         "apim-request-id": [
-          "7f3cc94b-8067-475c-83db-194b8a16b621"
+          "aa590604-966b-4732-a704-d224627e27c8"
         ],
         "Strict-Transport-Security": [
           "max-age=31536000; includeSubDomains; preload"
@@ -98,7 +102,7 @@
           "nosniff"
         ],
         "Content-Length": [
-          "23"
+          "20"
         ],
         "Content-Type": [
           "application/json; charset=utf-8"
@@ -107,12 +111,12 @@
           "-1"
         ]
       },
-      "ResponseBody": "{\r\n  \"status\": \"NotStarted\"\r\n}",
+      "ResponseBody": "{\r\n  \"status\": \"Running\"\r\n}",
       "StatusCode": 200
     },
     {
-      "RequestUri": "/vision/v2.0/textOperations/dc2ec7b5-fb7a-4152-a91a-f005abb9a97f",
-      "EncodedRequestUri": "L3Zpc2lvbi92Mi4wL3RleHRPcGVyYXRpb25zL2RjMmVjN2I1LWZiN2EtNDE1Mi1hOTFhLWYwMDVhYmI5YTk3Zg==",
+      "RequestUri": "/vision/v2.0/textOperations/a17251bc-c749-4f64-95ec-29496e22c552",
+      "EncodedRequestUri": "L3Zpc2lvbi92Mi4wL3RleHRPcGVyYXRpb25zL2ExNzI1MWJjLWM3NDktNGY2NC05NWVjLTI5NDk2ZTIyYzU1Mg==",
       "RequestMethod": "GET",
       "RequestBody": "",
       "RequestHeaders": {
@@ -120,8 +124,10 @@
           ""
         ],
         "User-Agent": [
-          "FxVersion/4.6.25211.01",
-          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.2.0.0"
+          "FxVersion/4.6.26614.01",
+          "OSName/Windows",
+          "OSVersion/Microsoft.Windows.10.0.17763.",
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@@ -129,7 +135,7 @@
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-          "Mon, 30 Jul 2018 21:58:45 GMT"
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@@ -141,7 +147,7 @@
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@@ -150,7 +156,7 @@
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@@ -159,10 +165,64 @@
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+        ],
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+        "Content-Type": [
+          "application/json; charset=utf-8"
+        ],
+        "Expires": [
+          "-1"
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index 7c42402b5203..0e8e3cbc3835 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionRecognizeTextTests/RecognizeTextTest.json
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/SessionRecords/ComputerVisionSDK.Tests.VisionRecognizeTextTests/RecognizeTextTest.json
@@ -10,14 +10,16 @@
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-          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.2.0.0"
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+          "OSVersion/Microsoft.Windows.10.0.17763.",
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-          "Mon, 30 Jul 2018 21:58:41 GMT"
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-          "https://westus.api.cognitive.microsoft.com/vision/v2.0/textOperations/8e986b05-3485-47f2-b725-fb9bcbeb4b19"
+          "https://westus.api.cognitive.microsoft.com/vision/v2.0/textOperations/b579fc05-54cf-47bb-aa03-a0ac9dfd0a2a"
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+      "RequestUri": "/vision/v2.0/textOperations/b579fc05-54cf-47bb-aa03-a0ac9dfd0a2a",
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+          "FxVersion/4.6.26614.01",
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+          "OSVersion/Microsoft.Windows.10.0.17763.",
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@@ -107,12 +111,12 @@
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-      "ResponseBody": "{\r\n  \"status\": \"NotStarted\"\r\n}",
+      "ResponseBody": "{\r\n  \"status\": \"Running\"\r\n}",
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+      "RequestUri": "/vision/v2.0/textOperations/b579fc05-54cf-47bb-aa03-a0ac9dfd0a2a",
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@@ -120,8 +124,10 @@
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-          "FxVersion/4.6.25211.01",
-          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.2.0.0"
+          "FxVersion/4.6.26614.01",
+          "OSName/Windows",
+          "OSVersion/Microsoft.Windows.10.0.17763.",
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-          "Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ComputerVisionClient/3.2.0.0"
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\ No newline at end of file
+}
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/TestImages/MicrosoftRealMadrid.jpg b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/TestImages/MicrosoftRealMadrid.jpg
new file mode 100644
index 000000000000..d0f078a1b8eb
Binary files /dev/null and b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/TestImages/MicrosoftRealMadrid.jpg differ
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionAnalyzeTests.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionAnalyzeTests.cs
index 6221bc2e9bfa..75599bbdcbb9 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionAnalyzeTests.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionAnalyzeTests.cs
@@ -86,6 +86,36 @@ public void AnalyzeImageTest()
             }
         }
 
+        [Fact]
+        public void AnalyzeBrandsTest()
+        {
+            using (MockContext context = MockContext.Start(this.GetType().FullName))
+            {
+                HttpMockServer.Initialize(this.GetType().FullName, "AnalyzeBrandsTest");
+
+                using (IComputerVisionClient client = GetComputerVisionClient(HttpMockServer.CreateInstance()))
+                using (FileStream stream = new FileStream(GetTestImagePath("MicrosoftRealMadrid.jpg"), FileMode.Open))
+                {
+                    ImageAnalysis result = client.AnalyzeImageInStreamAsync(
+                        stream,
+                        new List<VisualFeatureTypes>()
+                        {
+                            VisualFeatureTypes.Brands
+                        })
+                        .Result;
+
+                    Assert.Equal("Microsoft", result.Brands[0].Name);
+                    Assert.True(result.Brands[0].Confidence > 0.5);
+                    Assert.True(result.Brands[0].Rectangle.X >= 0);
+                    Assert.True(result.Brands[0].Rectangle.W >= 0);
+                    Assert.True(result.Brands[0].Rectangle.X + result.Brands[0].Rectangle.W <= result.Metadata.Width);
+                    Assert.True(result.Brands[0].Rectangle.Y >= 0);
+                    Assert.True(result.Brands[0].Rectangle.H >= 0);
+                    Assert.True(result.Brands[0].Rectangle.Y + result.Brands[0].Rectangle.H <= result.Metadata.Height);
+                }
+            }
+        }
+
         [Fact]
         public void AnalyzeImageNullImageTest()
         {
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionRecognizeTextTests.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionRecognizeTextTests.cs
index 9b638d405e93..7dee5d884db9 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionRecognizeTextTests.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision.Tests/VisionRecognizeTextTests.cs
@@ -52,11 +52,11 @@ public void RecognizeTextInStreamTest()
                     Assert.NotNull(recognitionResult);
 
                     Assert.Equal(
-                        new string[] { "You must be the change", "you want to see in the world !" },
+                        new string[] { "You must be the change", "you want to see in the world!!" },
                         recognitionResult.Lines.Select(line => line.Text));
                     Assert.Equal(2, recognitionResult.Lines.Count);
                     Assert.Equal(5, recognitionResult.Lines[0].Words.Count);
-                    Assert.Equal(8, recognitionResult.Lines[1].Words.Count);
+                    Assert.Equal(7, recognitionResult.Lines[1].Words.Count);
                 }
             }
         }
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClient.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClient.cs
index 1b9ed7086882..30a735c0fc51 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClient.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClient.cs
@@ -243,7 +243,9 @@ private void Initialize()
         /// pornographic in nature (depicts nudity or a sex act).  Sexually suggestive
         /// content is also detected. Objects - detects various objects within an
         /// image, including the approximate location. The Objects argument is only
-        /// available in English.
+        /// available in English. Brands - detects various brands within an image,
+        /// including the approximate location. The Brands argument is only available
+        /// in English.
         /// </param>
         /// <param name='details'>
         /// A string indicating which domain-specific details to return. Multiple
@@ -2246,7 +2248,9 @@ private void Initialize()
         /// pornographic in nature (depicts nudity or a sex act).  Sexually suggestive
         /// content is also detected. Objects - detects various objects within an
         /// image, including the approximate location. The Objects argument is only
-        /// available in English.
+        /// available in English. Brands - detects various brands within an image,
+        /// including the approximate location. The Brands argument is only available
+        /// in English.
         /// </param>
         /// <param name='details'>
         /// A string indicating which domain-specific details to return. Multiple
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClientExtensions.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClientExtensions.cs
index 349dd1048890..485d43587c2c 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClientExtensions.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/ComputerVisionClientExtensions.cs
@@ -52,7 +52,9 @@ public static partial class ComputerVisionClientExtensions
             /// pornographic in nature (depicts nudity or a sex act).  Sexually suggestive
             /// content is also detected. Objects - detects various objects within an
             /// image, including the approximate location. The Objects argument is only
-            /// available in English.
+            /// available in English. Brands - detects various brands within an image,
+            /// including the approximate location. The Brands argument is only available
+            /// in English.
             /// </param>
             /// <param name='details'>
             /// A string indicating which domain-specific details to return. Multiple
@@ -428,7 +430,9 @@ public static partial class ComputerVisionClientExtensions
             /// pornographic in nature (depicts nudity or a sex act).  Sexually suggestive
             /// content is also detected. Objects - detects various objects within an
             /// image, including the approximate location. The Objects argument is only
-            /// available in English.
+            /// available in English. Brands - detects various brands within an image,
+            /// including the approximate location. The Brands argument is only available
+            /// in English.
             /// </param>
             /// <param name='details'>
             /// A string indicating which domain-specific details to return. Multiple
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/IComputerVisionClient.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/IComputerVisionClient.cs
index 7b62111ac932..520bbf0d4e4b 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/IComputerVisionClient.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/IComputerVisionClient.cs
@@ -85,7 +85,9 @@ public partial interface IComputerVisionClient : System.IDisposable
         /// is pornographic in nature (depicts nudity or a sex act).  Sexually
         /// suggestive content is also detected. Objects - detects various
         /// objects within an image, including the approximate location. The
-        /// Objects argument is only available in English.
+        /// 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.
         /// </param>
         /// <param name='details'>
         /// A string indicating which domain-specific details to return.
@@ -405,7 +407,9 @@ public partial interface IComputerVisionClient : System.IDisposable
         /// is pornographic in nature (depicts nudity or a sex act).  Sexually
         /// suggestive content is also detected. Objects - detects various
         /// objects within an image, including the approximate location. The
-        /// Objects argument is only available in English.
+        /// 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.
         /// </param>
         /// <param name='details'>
         /// A string indicating which domain-specific details to return.
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/DetectedBrand.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/DetectedBrand.cs
new file mode 100644
index 000000000000..f8f2f8e88996
--- /dev/null
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/DetectedBrand.cs
@@ -0,0 +1,70 @@
+// <auto-generated>
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License. See License.txt in the project root for
+// license information.
+//
+// Code generated by Microsoft (R) AutoRest Code Generator.
+// Changes may cause incorrect behavior and will be lost if the code is
+// regenerated.
+// </auto-generated>
+
+namespace Microsoft.Azure.CognitiveServices.Vision.ComputerVision.Models
+{
+    using Newtonsoft.Json;
+    using System.Linq;
+
+    /// <summary>
+    /// A brand detected in an image.
+    /// </summary>
+    public partial class DetectedBrand
+    {
+        /// <summary>
+        /// Initializes a new instance of the DetectedBrand class.
+        /// </summary>
+        public DetectedBrand()
+        {
+            CustomInit();
+        }
+
+        /// <summary>
+        /// Initializes a new instance of the DetectedBrand class.
+        /// </summary>
+        /// <param name="name">Label for the brand.</param>
+        /// <param name="confidence">Confidence score of having observed the
+        /// brand in the image, as a value ranging from 0 to 1.</param>
+        /// <param name="rectangle">Approximate location of the detected
+        /// brand.</param>
+        public DetectedBrand(string name = default(string), double confidence = default(double), BoundingRect rectangle = default(BoundingRect))
+        {
+            Name = name;
+            Confidence = confidence;
+            Rectangle = rectangle;
+            CustomInit();
+        }
+
+        /// <summary>
+        /// An initialization method that performs custom operations like setting defaults
+        /// </summary>
+        partial void CustomInit();
+
+        /// <summary>
+        /// Gets label for the brand.
+        /// </summary>
+        [JsonProperty(PropertyName = "name")]
+        public string Name { get; private set; }
+
+        /// <summary>
+        /// Gets confidence score of having observed the brand in the image, as
+        /// a value ranging from 0 to 1.
+        /// </summary>
+        [JsonProperty(PropertyName = "confidence")]
+        public double Confidence { get; private set; }
+
+        /// <summary>
+        /// Gets approximate location of the detected brand.
+        /// </summary>
+        [JsonProperty(PropertyName = "rectangle")]
+        public BoundingRect Rectangle { get; private set; }
+
+    }
+}
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/ImageAnalysis.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/ImageAnalysis.cs
index a05adc43cfe1..4e95dcd9269a 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/ImageAnalysis.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/ImageAnalysis.cs
@@ -47,8 +47,9 @@ public ImageAnalysis()
         /// image.</param>
         /// <param name="objects">Array of objects describing what was detected
         /// in the image.</param>
+        /// <param name="brands">Array of brands detected in the image.</param>
         /// <param name="requestId">Id of the REST API request.</param>
-        public ImageAnalysis(IList<Category> categories = default(IList<Category>), AdultInfo adult = default(AdultInfo), ColorInfo color = default(ColorInfo), ImageType imageType = default(ImageType), IList<ImageTag> tags = default(IList<ImageTag>), ImageDescriptionDetails description = default(ImageDescriptionDetails), IList<FaceDescription> faces = default(IList<FaceDescription>), IList<DetectedObject> objects = default(IList<DetectedObject>), string requestId = default(string), ImageMetadata metadata = default(ImageMetadata))
+        public ImageAnalysis(IList<Category> categories = default(IList<Category>), AdultInfo adult = default(AdultInfo), ColorInfo color = default(ColorInfo), ImageType imageType = default(ImageType), IList<ImageTag> tags = default(IList<ImageTag>), ImageDescriptionDetails description = default(ImageDescriptionDetails), IList<FaceDescription> faces = default(IList<FaceDescription>), IList<DetectedObject> objects = default(IList<DetectedObject>), IList<DetectedBrand> brands = default(IList<DetectedBrand>), string requestId = default(string), ImageMetadata metadata = default(ImageMetadata))
         {
             Categories = categories;
             Adult = adult;
@@ -58,6 +59,7 @@ public ImageAnalysis()
             Description = description;
             Faces = faces;
             Objects = objects;
+            Brands = brands;
             RequestId = requestId;
             Metadata = metadata;
             CustomInit();
@@ -121,6 +123,12 @@ public ImageAnalysis()
         [JsonProperty(PropertyName = "objects")]
         public IList<DetectedObject> Objects { get; set; }
 
+        /// <summary>
+        /// Gets or sets array of brands detected in the image.
+        /// </summary>
+        [JsonProperty(PropertyName = "brands")]
+        public IList<DetectedBrand> Brands { get; set; }
+
         /// <summary>
         /// Gets or sets id of the REST API request.
         /// </summary>
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/VisualFeatureTypes.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/VisualFeatureTypes.cs
index 8d69f47eaa51..f2135d9308b1 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/VisualFeatureTypes.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/Models/VisualFeatureTypes.cs
@@ -36,7 +36,9 @@ public enum VisualFeatureTypes
         [EnumMember(Value = "Description")]
         Description,
         [EnumMember(Value = "Objects")]
-        Objects
+        Objects,
+        [EnumMember(Value = "Brands")]
+        Brands
     }
     internal static class VisualFeatureTypesEnumExtension
     {
@@ -65,6 +67,8 @@ internal static string ToSerializedValue(this VisualFeatureTypes value)
                     return "Description";
                 case VisualFeatureTypes.Objects:
                     return "Objects";
+                case VisualFeatureTypes.Brands:
+                    return "Brands";
             }
             return null;
         }
@@ -89,6 +93,8 @@ internal static string ToSerializedValue(this VisualFeatureTypes value)
                     return VisualFeatureTypes.Description;
                 case "Objects":
                     return VisualFeatureTypes.Objects;
+                case "Brands":
+                    return VisualFeatureTypes.Brands;
             }
             return null;
         }
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/SdkInfo_ComputerVisionClient.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/SdkInfo_ComputerVisionClient.cs
index 304f67923e69..a03d0121b022 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/SdkInfo_ComputerVisionClient.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Generated/SdkInfo_ComputerVisionClient.cs
@@ -45,10 +45,10 @@ public static IEnumerable<Tuple<string, string, string>> ApiInfo_ComputerVisionC
       // BEGIN: Code Generation Metadata Section
       public static readonly String AutoRestVersion = "latest";
       public static readonly String AutoRestBootStrapperVersion = "autorest@2.0.4283";
-      public static readonly String AutoRestCmdExecuted = "cmd.exe /c autorest.cmd https://github.com/Azure/azure-rest-api-specs/blob/master/specification/cognitiveservices/data-plane/ComputerVision/readme.md --csharp --version=latest --reflect-api-versions --csharp-sdks-folder=C:\\Users\\mamirzam\\CV-API\\azure-sdk-for-net\\src\\SDKs";
+      public static readonly String AutoRestCmdExecuted = "cmd.exe /c autorest.cmd https://github.com/Azure/azure-rest-api-specs/blob/master/specification/cognitiveservices/data-plane/ComputerVision/readme.md --csharp --version=latest --reflect-api-versions --csharp-sdks-folder=F:\\src\\github\\cthrash\\azure-sdk-for-net\\src\\SDKs";
       public static readonly String GithubForkName = "Azure";
       public static readonly String GithubBranchName = "master";
-      public static readonly String GithubCommidId = "a2323a5bf8cd642bee954f7b49ff4fe1976cdeec";
+      public static readonly String GithubCommidId = "29362dc7847c20c603cb71201e30e0d83b932bf3";
       public static readonly String CodeGenerationErrors = "";
       public static readonly String GithubRepoName = "azure-rest-api-specs";
       // END: Code Generation Metadata Section
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Microsoft.Azure.CognitiveServices.Vision.ComputerVision.csproj b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Microsoft.Azure.CognitiveServices.Vision.ComputerVision.csproj
index 10c723d4dba1..4d5b16f236e2 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Microsoft.Azure.CognitiveServices.Vision.ComputerVision.csproj
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Microsoft.Azure.CognitiveServices.Vision.ComputerVision.csproj
@@ -6,13 +6,12 @@
   <PropertyGroup>
     <PackageId>Microsoft.Azure.CognitiveServices.Vision.ComputerVision</PackageId>
     <Description>This client library provides access to the Microsoft Cognitive Services ComputerVision APIs.</Description>
-    <Version>3.3.0</Version>
+    <Version>3.4.0</Version>
     <AssemblyName>Microsoft.Azure.CognitiveServices.Vision.ComputerVision</AssemblyName>
     <PackageTags>Microsoft Cognitive Services;Cognitive Services;Cognitive Services SDK;REST HTTP client;Computer Vision;Computer Vision API;Computer Vision SDK;Vision;netcore451511</PackageTags>
     <PackageReleaseNotes>
     <![CDATA[
-    1) Detect objects - Object detection is similar to tagging, but the API returns the bounding box coordinates for each object detected. For example, if an image contains a dog, cat and person, the Detect operation will list those objects along with their coordinates in the image. You can use this functionality to process further relationships between the objects in an image. It also lets you know when there are multiple instances of the same object in an image.
-    2) Get the area of interest - Analyze the contents of an image to return the coordinates of the area of interest. This is the same function that is used to generate a thumbnail, but instead of cropping the image, Computer Vision returns the bounding box coordinates of the region, so the calling application can modify the original image as desired.
+    The Analyze methods support Brand (Logo) detection.
     ]]>
     </PackageReleaseNotes>
   </PropertyGroup>
diff --git a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Properties/AssemblyInfo.cs b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Properties/AssemblyInfo.cs
index d473972c6f71..4b354d05daae 100644
--- a/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Properties/AssemblyInfo.cs
+++ b/src/SDKs/CognitiveServices/dataPlane/Vision/ComputerVision/ComputerVision/Properties/AssemblyInfo.cs
@@ -8,7 +8,7 @@
 [assembly: AssemblyDescription("Provides access to the Microsoft Cognitive Services ComputerVision APIs.")]
 
 [assembly: AssemblyVersion("3.0.0.0")]
-[assembly: AssemblyFileVersion("3.3.0.0")]
+[assembly: AssemblyFileVersion("3.4.0.0")]
 [assembly: AssemblyConfiguration("")]
 [assembly: AssemblyCompany("Microsoft")]
 [assembly: AssemblyProduct("Microsoft Azure .NET SDK")]
diff --git a/src/SDKs/_metadata/cognitiveservices_data-plane_ComputerVision.txt b/src/SDKs/_metadata/cognitiveservices_data-plane_ComputerVision.txt
index ae08e533a0c9..42a8d0283f9f 100644
--- a/src/SDKs/_metadata/cognitiveservices_data-plane_ComputerVision.txt
+++ b/src/SDKs/_metadata/cognitiveservices_data-plane_ComputerVision.txt
@@ -3,12 +3,12 @@ AutoRest installed successfully.
 Commencing code generation
 Generating CSharp code
 Executing AutoRest command
-cmd.exe /c autorest.cmd https://github.com/Azure/azure-rest-api-specs/blob/master/specification/cognitiveservices/data-plane/ComputerVision/readme.md --csharp --version=latest --reflect-api-versions --csharp-sdks-folder=C:\Users\mamirzam\CV-API\azure-sdk-for-net\src\SDKs
-2018-12-11 18:58:56 UTC
+cmd.exe /c autorest.cmd https://github.com/Azure/azure-rest-api-specs/blob/master/specification/cognitiveservices/data-plane/ComputerVision/readme.md --csharp --version=latest --reflect-api-versions --csharp-sdks-folder=F:\src\github\cthrash\azure-sdk-for-net\src\SDKs
+2019-03-05 18:18:31 UTC
 Azure-rest-api-specs repository information
 GitHub fork: Azure
 Branch:      master
-Commit:      a2323a5bf8cd642bee954f7b49ff4fe1976cdeec
+Commit:      29362dc7847c20c603cb71201e30e0d83b932bf3
 AutoRest information
 Requested version: latest
 Bootstrapper version:    autorest@2.0.4283