Awesome-YOLO-Object-Detection

🚀🚀🚀 YOLO is a great real-time one-stage object detection framework. This repository lists some awesome public YOLO object detection series projects.

Contents

• Awesome-YOLO-Object-Detection
  • Summary
    • Official YOLO
    • Awesome List
    • Paper and Code Overview
      • Paper Review
      • Code Review
    • Learning Resources
  • Extensional Frameworks
  • Other Versions of YOLO
    • PyTorch Implementation
    • C Implementation
    • CPP Implementation
    • ROS Implementation
    • Mojo Implementation
    • Rust Implementation
    • Go Implementation
    • CSharp Implementation
    • Tensorflow and Keras Implementation
    • PaddlePaddle Implementation
    • Caffe Implementation
    • MXNet Implementation
    • Web Implementation
    • Others
  • Lighter and Deployment Frameworks
    • Lightweight Backbones and FPN
    • Pruning Knoweldge-Distillation Quantization
      • Pruning
      • Quantization
      • Knoweldge-Distillation
    • High-performance Inference Engine
      • ONNX
      • TensorRT
      • OpenVINO
      • NCNN
      • MNN
      • DeepStream
      • Other Engine
    • FPGA TPU NPU Hardware Deployment
      • FPGA
      • RK3588
      • Other Hardware
  • Applications
    • Video Object Detection
    • Object Tracking
      • Multi-Object Tracking
      • Dynamic Object Tracking
    • Deep Reinforcement Learning
    • Motion Control Field
    • Super-Resolution Field
    • Spiking Neural Network
    • Attention and Transformer
    • Small Object Detection
    • Few-shot Object Detection
    • Open World Object Detection
    • Oriented Object Detection
    • Face Detection and Recognition
      • Face Detection
      • Face Recognition
    • Face Mask Detection
    • Social Distance Detection
    • Autonomous Driving Field Detection
      • Vehicle Detection
      • License Plate Detection and Recognition
      • Lane Detection
      • Driving Behavior Detection
      • Parking Slot Detection
      • Traffic Light Detection
      • Traffic Sign Detection
      • Crosswalk Detection
      • Traffic Accidents Detection
      • Road Damage Detection
    • Animal Detection
    • Helmet Detection
    • Hand Detection
    • Gesture Recognition
    • Action Detection
    • Emotion Recognition
    • Human Pose Estimation
    • Distance Measurement
    • Instance and Semantic Segmentation
    • 3D Object Detection
    • SLAM Field Detection
    • Industrial Defect Detection
    • SAR Image Detection
    • Multispectral Image Fusion Detection
    • Safety Monitoring Field Detection
    • Anti-UAV Field Detection
    • Medical Field Detection
    • Chemistry Field Detection
    • Agricultural Field Detection
    • Sports Field Detection
    • Adverse Weather Conditions
    • Adversarial Attack and Defense
    • Camouflaged Detection
    • Game Field Detection
    • Automatic Annotation Tools
    • Feature Map Visualization
    • Object Detection Evaluation Metrics
    • GUI
      • Streamlit-Related
      • Gradio-Related
      • QT-Related
      • PySide-Related
      • Flutter-Related
      • Slint-Related
    • Other Applications
  • Blogs
  • Videos

Summary

• Official YOLO

  • YOLOv1 (Darknet <img src="https://img.shields.io/github/stars/pjreddie/darknet?style=social"/>) : "You Only Look Once: Unified, Real-Time Object Detection". (CVPR 2016)

  • YOLOv2 (Darknet <img src="https://img.shields.io/github/stars/pjreddie/darknet?style=social"/>) : "YOLO9000: Better, Faster, Stronger". (CVPR 2017)

  • YOLOv3 (Darknet <img src="https://img.shields.io/github/stars/pjreddie/darknet?style=social"/>) : "YOLOv3: An Incremental Improvement". (arXiv 2018)

  • YOLOv4 <img src="https://img.shields.io/github/stars/AlexeyAB/darknet?style=social"/> (WongKinYiu/PyTorch_YOLOv4 <img src="https://img.shields.io/github/stars/WongKinYiu/PyTorch_YOLOv4?style=social"/>) : "YOLOv4: Optimal Speed and Accuracy of Object Detection". (arXiv 2020)

  • Scaled-YOLOv4 <img src="https://img.shields.io/github/stars/AlexeyAB/darknet?style=social"/> (WongKinYiu/ScaledYOLOv4 <img src="https://img.shields.io/github/stars/WongKinYiu/ScaledYOLOv4?style=social"/>) : "Scaled-YOLOv4: Scaling Cross Stage Partial Network". (CVPR 2021)

  • YOLOv5 <img src="https://img.shields.io/github/stars/ultralytics/yolov5?style=social"/> : YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. docs.ultralytics.com. YOLOv5 🚀 is the world's most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.

  • YOLOX <img src="https://img.shields.io/github/stars/Megvii-BaseDetection/YOLOX?style=social"/> : "YOLOX: Exceeding YOLO Series in 2021". (arXiv 2021)

  • YOLOR <img src="https://img.shields.io/github/stars/WongKinYiu/yolor?style=social"/> : "You Only Learn One Representation: Unified Network for Multiple Tasks". (arXiv 2021)

  • YOLOF <img src="https://img.shields.io/github/stars/megvii-model/YOLOF?style=social"/> : "You Only Look One-level Feature". (CVPR 2021). "微信公众号「计算机视觉研究院」《CVPR目标检测新框架：不再是YOLO，而是只需要一层特征（干货满满，建议收藏）》"。

  • YOLOS <img src="https://img.shields.io/github/stars/hustvl/YOLOS?style=social"/> : "You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection". (NeurIPS 2021)

  • YOLOv6 <img src="https://img.shields.io/github/stars/meituan/YOLOv6?style=social"/> : "YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications". (arXiv 2022). "微信公众号「美团技术团队」《YOLOv6：又快又准的目标检测框架开源啦》"。"微信公众号「美团技术团队」《目标检测开源框架YOLOv6全面升级，更快更准的2.0版本来啦》"。"微信公众号「美团技术团队」《通用目标检测开源框架YOLOv6在美团的量化部署实战 》"。 "微信公众号「集智书童」《超越YOLOv7 | YOLOv6论文放出，重参+自蒸馏+感知量化+...各种Tricks大放异彩》"。"微信公众号「极市平台」《Repvgg-style ConvNets，硬件友好！详解YOLOv6的高效backbone：EfficientRep》"。

  • YOLOv7 <img src="https://img.shields.io/github/stars/WongKinYiu/yolov7?style=social"/> : "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors". (CVPR 2023). "微信公众号「CVer」《CVPR 2023 | YOLOv7强势收录！时隔6年，YOLOv系列再登CVPR！》"。

  • DAMO-YOLO <img src="https://img.shields.io/github/stars/tinyvision/DAMO-YOLO?style=social"/> : DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement. "DAMO-YOLO : A Report on Real-Time Object Detection Design". (arXiv 2022)

  • DynamicDet <img src="https://img.shields.io/github/stars/VDIGPKU/DynamicDet?style=social"/> : "DynamicDet: A Unified Dynamic Architecture for Object Detection". (CVPR 2023)

  • EdgeYOLO <img src="https://img.shields.io/github/stars/LSH9832/edgeyolo?style=social"/> : EdgeYOLO: anchor-free, edge-friendly. an edge-real-time anchor-free object detector with decent performance. "Edge YOLO: Real-time intelligent object detection system based on edge-cloud cooperation in autonomous vehicles". (IEEE Transactions on Intelligent Transportation Systems, 2022). "EdgeYOLO: An Edge-Real-Time Object Detector". (arXiv 2023)

  • RT-DETR <img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleDetection?style=social"/> : "DETRs Beat YOLOs on Real-time Object Detection". (arXiv 2023).