AI Label
Feature Description
AI Label refers to the process of rapidly segmenting image samples and performing annotations based on machine learning models.
Provides two model algorithms: PaddleSeg and SAM:
- PaddleSeg: Primarily used for image segmentation, containing multiple mainstream segmentation models to complete image segmentation more efficiently.
- SAM: Segment Anything Model, designed to segment all objects in images. However, it requires higher hardware specifications with VRAM exceeding 8GB.
Before using the AI Label feature, please configure the machine learning environment first.
Feature Entry
- Manage Picture Sample tab -> Sample Label Extraction group -> AI Label.
- Manage Image Sample tab -> Create Object group -> AI Label.
Steps
- Click the AI Label button to open the AI Label dialog box;
- Set segmentation threshold (range: [0,1], default: 0.5).
- Select model: Provides PaddleSeg and SegmentAnything algorithms, with SegmentAnything offering higher precision than PaddleSeg.
- Click the Label button in the dialog, then select samples in the sample picture window using left/right mouse clicks.
Notice：- After clicking Label button: Use left-click to select samples, right-click to confirm selection. An Edit Sample Tags dialog will appear for label selection (only appears once per session).
- Multiple left-clicks can refine sample selection. Hold Ctrl + left-click to remove overflow areas.。
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