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图像和视频真实值标注

R2025b
通过交互式图像和视频标注，为深度学习创建训练数据并实现目标检测、语义分割、实例分割和图像分类

使用图像标注器和视频标注器以交互方式标注一个图像集合、一段视频或一个图像系列，从而为深度学习创建训练数据。您可以标注矩形感兴趣区域 (ROI) 或折线、用于语义分割的像素、用于实例分割的多边形以及用于图像分类的场景。这些 App 还包括计算机视觉算法，用于自动标注真实值数据，以供检测和跟踪算法使用。它们还提供 API 和工作流，使您能够导入自己的算法来自动标注真实值数据。

图像标注器还提供了一个界面，用于实现协作式多用户团队标注工作流。您可以在团队成员之间分发用于标注的图像。您还可以审查标注的图像，提供反馈，并跟踪所有标注和审查任务的进度。

类别

精选示例

Automatically Label Ground Truth Using Segment Anything Model

Automatically Label Ground Truth Using Segment Anything Model

Label pixels using the Segment Anything Model (SAM) in the Image Labeler app.

Export Ground Truth Object to Custom and COCO JSON Files

Export Ground Truth Object to Custom and COCO JSON Files

Export a ground truth object to a custom data format JavaScript Object Notation (JSON) file and to a COCO data format JSON file.

Automate Ground Truth Labeling for Semantic Segmentation

Automate Ground Truth Labeling for Semantic Segmentation

Use a pretrained semantic segmentation algorithm to segment the sky and a road in an image.

Convert Image Labeler Polygons to Labeled Blocked Image for Semantic Segmentation

Convert Image Labeler Polygons to Labeled Blocked Image for Semantic Segmentation

Convert polygon labels stored in a groundTruth object into a labeled blocked image for semantic segmentation workflows.

Automate Labeling of Objects in Video Using RAFT Optical Flow

Automate Labeling of Objects in Video Using RAFT Optical Flow

Use a pretrained RAFT optical flow estimation network to propagate a predefined object mask from one frame to the next in a video sequence.

Automate Ground Truth Labeling for Object Detection

Automate Ground Truth Labeling for Object Detection

Create an automation algorithm to automatically label data for object detection using a pretrained object detector.

Automate Ground Truth Labeling for OCR

Automate Ground Truth Labeling for OCR

Automate the labeling of text for OCR training and evaluation.