text_recognition

Text Recognition Example

Introduction

• Text Detection: Find the areas with text in the input image.
• Text Recognition: Understand the words in the image, usually from the images of text areas cut out from the text boxes detected.

Usage

Currently, X-AnyLabeling supports both manual and automatic annotation of the PP-OCR dataset.

1. Manual Annotation Modes

The following modes are avaliable:

• rectangle: For drawing rectangle shape around text regions.
• rotation: For annotating text regions with a rotation shape.
• polygon: For "four-point" or "irregular polygon" annotation of text regions.

2. Automatic Annotation Mode

For automatic annotation, the tool is integrated with models from PaddleOCR-v4.0. Users can select the appropriate model based on their needs or deploy custom models for assisted inference.

Here's how to proceed with automatic annotation:

• Load the image or video file.
• Load the relevant PPOCR model.
• Click to run the annotation process.

When annotating PPOCR data, the label field values can be ignored; instead, you should focus on the description field.

• To hide the text labels, you can use the shortcut Ctrl+L.
• To modify the description field, you can use Ctrl+E to open the label manager and make corrections in the section of the pop-up dialog.

Export

For instructions on exporting PP-OCR Rec annotations, please consult the user guide available:

• English version
• Chinese version

The exported annotations can be directly used for the training of PP-OCR detection and recognition models.