The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
- open-vocabulary-detection
- open-vocabulary-segmentation
- data-generation
- automatic-labeling-system
Inpaint anything using Segment Anything and inpainting models.
CoTracker is a model for tracking any point (pixel) on a video.
- optical-flow
- point-tracking
- track-anything
Segment Anything in Medical Images
Segment Anything in High Quality [NeurIPS 2023]
- sam
- segmentation
- segment-anything
- zero-shot-segmentation
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Open-source and strong foundation image recognition models.
- tag2text-iclr2024
- recognize-anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
- interactive-segmentation
- segment-anything
- segment-anything-model
- video-object-segmentation
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Segment Anything for Microscopy
- microscopy-images
- segment-anything
- segmentation
- cell-segmentation