facebookresearch / segment-anything

Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.

facebookresearch / sam2

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.

roboflow / notebooks

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

mlmed / torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

MIC-DKFZ / batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

computational-cell-analytics / micro-sam

Segment Anything for Microscopy

tue-mps / eomt

[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).