AI 辅助和自动标注
为了加速标注过程，Computer Vision Toolbox™ 提供了内置的 AI 辅助和自动标注算法，直接集成到图像标注器和视频标注器中。这些包括高级模型，如用于自动像素级分割的分割一切模型 (SAM) 和使用自然语言提示进行目标检测的 Grounding DINO。这些工具使您能够以最少的手动操作快速生成高质量注解，方式包括交互式选择区域或自动标注整个场景。要开始使用 AI 辅助和自动标注，请参阅Get Started with AI-Assisted and Automated Labeling。
要对自动标注过程及其参数进行更多控制和自定义，您可以创建自定义自动标注算法并将其导入标注 App。您可以使用基于函数的接口或基于类的接口来实现这些自动标注算法，并支持专用工作流，如用于跨帧跟踪的时序自动标注和用于处理大规模图像的分块图像自动标注。有关详细信息，请参阅Create Custom Automation Algorithm for Labeling。
函数
主题
- Get Started with AI-Assisted and Automated Labeling
Get started with AI-assisted and automated image and video labeling workflows in Image Labeler and Video Labeler apps.
- Create Custom Automation Algorithm for Labeling
Create a custom automation algorithm using a class-based interface to use in a labeler app.
- Create Automation Algorithm Function for Labeling
Create a custom automation algorithm function to use in a labeling app.
- Temporal Automation Algorithms
Create a time-based custom tracking algorithm to import into a labeling app.
- Blocked Image Automation Algorithms
Create a blocked image custom automation algorithm to import into a labeling app.
精选示例
Automatically Label Ground Truth Using Segment Anything Model
Produce pixel labels for semantic segmentation using the Segment Anything Model (SAM) in the 图像标注器 app. The SAM is an automatic segmentation technique that you can use to segment object regions to label with just a few clicks, or automatically segment the entire image and instantaneously create labels for selected regions. In this example, you interactively label pixels for semantic segmentation in two ways.
Automatically Label Ground Truth Using Vision-Language Model
Automatically label ground truth images for object detection using the Grounding DINO vision-language model (VLM).
Automate Ground Truth Polygon Labeling Using Grounded SAM Model
Combine Grounding DINO and the Segment Anything Model 2 (SAM 2) to automatically produce polygon labels using the Video Labeler app.
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 Semantic Segmentation
Use a pretrained semantic segmentation algorithm to segment the sky and a road in an image.
Automate Ground Truth Labeling for Instance Segmentation
Create an automation algorithm to automatically label data for instance segmentation using a pretrained SOLOv2 network in the Video Labeler app.
Automate Ground Truth Labeling for OCR
Automate the labeling of text for OCR training and evaluation.
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 Tracking and Re-Identification
Create an automation algorithm to automatically label data for object tracking and for object re-identification.
