open-mmlab/mmdetection

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

End-to-End Object Detection with Transformers

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]

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

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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.

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.