matterport/Mask_RCNN

End-to-End Object Detection with Transformers

OpenMMLab Detection Toolbox and Benchmark

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

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

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/