facebookresearch/detr

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

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.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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.

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

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]