meta-pytorch/segment-anything-fast

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.

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

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.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

Add bisenetv2. My implementation of BiSeNet

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.