Awesome-YOLO-Object-Detection

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

Contents

• Awesome-YOLO-Object-Detection
  • Summary
    • Famous YOLO
    • Extensional Frameworks
    • Awesome List
    • Paper and Code Overview
      • Paper Review
      • Code Review
    • Learning Resources
  • 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
    • High-performance Inference Engine
      • ONNX
      • TensorRT
      • DeepStream
      • OpenVINO
      • NCNN
      • MNN
      • Other Engine
    • NPU and FPGA Hardware Deployment
      • RK3588
      • FPGA
      • Other Hardware
    • Pruning Knoweldge-Distillation Quantization
      • Pruning
      • Quantization
      • Knoweldge-Distillation
    • Lightweight Backbones and FPN
  • Object Detection Applications
    • Open World Object Detection
    • Few-shot Object Detection
    • Small Object Detection
    • Multimodal Image Detection
    • 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
    • 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
    • Safety Monitoring Field Detection
    • Anti-UAV Field Detection
    • Medical Field Detection
    • Chemistry Field Detection
    • Agricultural Field Detection
    • Sports Field Detection
    • Aerial Imagery Detection
    • Adverse Weather Conditions
    • Adversarial Attack and Defense
    • Camouflaged Detection
    • Game Field Detection
    • Automatic Annotation Tools
    • Feature Map Visualization
    • Object Detection Evaluation Metrics
    • GUI
      • Swift-Related
      • Flutter-Related
      • Streamlit-Related
      • Gradio-Related
      • QT-Related
      • PySide-Related
    • Other Applications
  • Object Detection Datasets
    • Datasets Share Platform
    • Datasets Tools
      • Data Annotation
      • Data Augmentation
      • Data Management
    • General Detection and Recognition Datasets
      • General Object Detection Datasets
      • General Object Recognition Datasets
    • Autonomous Driving Datasets
      • Diverse Autonomous Driving Datasets
      • Traffic Sign Detection Datasets
      • License Plate Detection and Recognition Datasets
    • Adverse Weather Datasets
    • Person Detection Datasets
    • Anti-UAV Datasets
    • Optical Aerial Imagery Datasets
    • Low-light Image Datasets
    • Infrared Image Datasets
    • SAR Image Datasets
    • Sonar Image Datasets
    • Multimodal Image Datasets
    • 3D Object Detection Datasets
    • Vehicle-to-Everything Field Datasets
    • Super-Resolution Field Datasets
    • Face Detection and Recognition Datasets
      • Face Detection Datasets
      • Face Recognition Datasets
  • Blogs
  • Videos

Summary

• Famous 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](https://openaccess.thecvf.com/content/CVPR2021/html/Wang_Sc