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  1. YOLOv4 - Ultralytics YOLOv8 Docs

    • YOLOv4 is designed for optimal speed and accuracy in object detection. The architecture of YOLOv4 includes CSPDarknet53 as the backbone, PANet as the neck, and YOLOv3 as the detection head. This d… See more

    Introduction

    YOLOv4 stands for You Only Look Once version 4. It is a real-time object detection model … See more

    Ultralytics YOLOv8 Docs
    Architecture

    YOLOv4 makes use of several innovative features that work together to optimize its performance. These include Weighted-Residual-Connections (WRC), Cross-Stage-Parti… See more

    Ultralytics YOLOv8 Docs
    Bag of Freebies

    YOLOv4 also makes use of methods known as "bag of freebies," which are techniques that improve the accuracy of the model during training without increasing the cost of infer… See more

    Ultralytics YOLOv8 Docs
    Usage Examples

    As of the time of writing, Ultralytics does not currently support YOLOv4 models. Therefore, any users interested in using YOLOv4 will need to refer directly to the YOLOv4 Gi… See more

    Ultralytics YOLOv8 Docs
    Conclusion

    YOLOv4 is a powerful and efficient object detection model that strikes a balance between speed and accuracy. Its use of unique features and bag of freebies techniques … See more

    Ultralytics YOLOv8 Docs
    Citations and Acknowledgements

    We would like to acknowledge the YOLOv4 authors for their significant contributions in the field of real-time object detection: The original YOLOv4 paper can be found on arXiv. The … See more

    Ultralytics YOLOv8 Docs
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  11. Introduction to the YOLO Family - PyImageSearch

    WEBApr 4, 2022 · Introduction to Object Detection. Challenges. History of Object Detection. What Are Single-Stage Object Detectors? YOLOv1. YOLOv2. YOLOv3. YOLOv4. YOLOv5. Mosaic Data Augmentation. Quantitative …

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  14. YOLO v8 Model Guide - Real-Time Object Detection Model …

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  17. Digging deep into YOLO V3 — A hands-on guide Part 1

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