segment-anything-model

Zero-shot image segmentation allows you to segment any object in images without task-specific training. By using the Segment Anything Model, you can generate object masks by providing simple prompts like points, bounding boxes, or previous masks.

For interactive image annotation with the Segment Anything Model, you can use points, bounding boxes, or previous masks as prompts. This flexible prompting allows precise object segmentation across various image domains.

Yes, you need PyTorch and Transformers installed to run the Segment Anything Model. Specifically, the environment requires the segment-anything library, transformers>=4.30.0, and torch>=1.7.0 to execute the segmentation scripts properly.

Yes, you can automatically generate all object masks in an image without manual prompts. The Segment Anything Model supports automatic segmentation, producing high-quality masks trained on over a billion mask annotations.

The best way to deploy image segmentation models on edge devices and browsers is through ONNX export. The Segment Anything Model supports ONNX export, allowing you to run zero-shot segmentation in constrained environments.

For zero-shot image segmentation, you can choose between ViT-B, ViT-L, and ViT-H models. ViT-B is the fastest for quick processing, while ViT-H offers the highest accuracy for demanding segmentation tasks.