layumi/Person_reID_baseline_pytorch

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

Noah Research

End-to-End Object Detection with Transformers

OpenMMLab Pre-training Toolbox and Benchmark

Scenic: A Jax Library for Computer Vision Research and Beyond

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

Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", TPAMI 2026.

Face recognition with deep neural networks.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.