Segment Anything in High Quality [NeurIPS 2023]

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.

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Adapting Segment Anything Model for Medical Image Segmentation

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)

[NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

Export Segment Anything Models to ONNX

A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

[TPAMI'24] Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation

SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation

Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis

Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement

A PoC to run Segment Anything Model (SAM) entirely in the browser without any backend

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI

An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.