segment-anything-model

Zero-shot image segmentation allows you to segment objects without task-specific training by using point, box, or mask prompts. You can use Meta AI's Segment Anything Model to isolate any object within an image interactively.

Yes, you can automatically generate and apply object masks to an entire image using SAM. The model identifies and segments all objects present without requiring manual prompts, which is useful for automated data generation.

Yes, the skill works with PyTorch and OpenCV. It relies on the segment-anything, transformers, torch, and opencv-python dependencies to process images and execute zero-shot object segmentation effectively.

To segment a specific product, provide a bounding box prompt around the target object in your image. The model uses this box prompt to generate a clean, high-quality segmentation mask isolating the product from its background.

The best way to isolate an object at specific coordinates is to use a point prompt. By passing the exact pixel coordinates to the model, it generates a precise segmentation mask covering the object at that location.