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SEGMENT ANYTHING
Segment anything in any image
Apache-2.0
ABOUT
Traditional image segmentation models are trained for specific object categories and fail on anything outside their training set — adding a new category requires collecting labeled data and retraining the entire model. Segment Anything Model (SAM) introduces a promptable segmentation task that generalizes to any object in any image without fine-tuning, using point prompts, box prompts, or automatic mask generation, making segmentation accessible for arbitrary use cases without custom training pipelines.
INSTALL
pip install segment-anythingINTEGRATION GUIDE
1. Automatically generate segmentation masks for every object in an image without specifying target categories
2. Build interactive photo editing tools that let users click on any object to select and edit it
3. Pre-process images for data augmentation by generating precise masks without manual labeling
4. Extract foreground objects from images for background removal or compositing workflows
TAGS
pythonimage-segmentationcomputer-visiondeep-learningzero-shotmetavision-transformer