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  1. Roboflow Blog
    https://blog.roboflow.com/a-thorough-breakdown-of-yolov4

    What is YOLOv4? A Detailed Breakdown. - Roboflow Blog

    • YOLOv4 is the fourth version in the You Only Look Once family of models. YOLOv4 makes realtime detection a priority and conducts training on a single GPU. The authors' intention is for vision engineer… See more

    Yolov4 Deep Dive: The Key Features

    How does YOLOv4 work? That's a great question! In this section, we're going to talk about how YOLOv4 works and the main features that comprise the model. See more

    Roboflow Blog
    Yolov4: Experimental Results

    The techniques in YOLOv4 were thoroughly proved out via experimentation on MS COCO. COCO contains 80 object classes and is meant to represent a broad range of object dete… See more

    Roboflow Blog
    Yolov4: Let's Get It Out There

    In sum, YOLOv4 is a distillation of a large suite of techniques for object detection in computer vision. These techniques have been tested and improved to form the best realtime obj… See more

    Roboflow Blog
    Frequently Asked Questions

    What is YOLOv4 used for?
    Like all other models in the YOLO family, the YOLOv4 model is used for object detection. Object detection problems are where you … See more

    Roboflow Blog
    Is yolov4 a good model?
    YOLOv4 was considered one of the best models for speed and accuracy performance, but did not top EfficientDet's largest model for overall accuracy on the COCO dataset. YOLOv5 - Shortly after the release of YOLOv4, Glenn Jocher (Github moniker glenn-jocher) published his version of the YOLO model in PyTorch as YOLOv5.
    blog.roboflow.com
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    Table of Contents
    Yolov4 Deep Dive: The Key Features
    Yolov4: Experimental Results
    Yolov4: Let's Get It Out There
    Frequently Asked Questions
    Is yolov4 a good model?
     

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  2. YOLOv4, which stands for "You Only Look Once version 4," is a state-of-the-art real-time object detection model developed by Alexey Bochkovskiy in 2020. It achieves an optimal balance between speed and accuracy, making it highly suitable for real-time applications.

    YOLOv4 - Ultralytics YOLO Docs

    docs.ultralytics.com/models/yolov4/
    docs.ultralytics.com/models/yolov4/
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  3. People also ask
    What framework does yolov4 use?
    This implementation of YoloV4 uses the Darknet framework. By using YOLOv4, you are implementing many of the past research contributions in the YOLO family along with a series of new contributions unique to YOLOv4 including new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss.

    YOLOv4 Darknet Object Detection Model: What is, How to Use - Roboflow

    roboflow.com
    Does yolov4 outperform other object detection network architectures?
    Bochkovskiy et al. (2020) did extensive experiments across different GPU architectures and showed that YOLOv4 outperformed all the other object detection network architectures in terms of speed and accuracy.

    Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4)

    pyimagesearch.com
    Is yolov4 a good model?
    YOLOv4 was considered one of the best models for speed and accuracy performance, but did not top EfficientDet's largest model for overall accuracy on the COCO dataset. YOLOv5 - Shortly after the release of YOLOv4, Glenn Jocher (Github moniker glenn-jocher) published his version of the YOLO model in PyTorch as YOLOv5.

    Scaled-YOLOv4 is Now the Best Model for Object Detection

    blog.roboflow.com
    How yolov4 architecture was selected?
    You then learned the post-processing methods and plugin modules called “Bag of Specials,” which improve the detector’s accuracy with minimal effect on the inference speed. We then discussed how YOLOv4 Architecture was selected: the backbone it used, the Neck with additional blocks, and the YOLOv2 head for object detection.

    Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4)

    pyimagesearch.com
    What is new in yolov4?
    YOLOv4’s architecture is composed of CSPDarknet53 as a backbone, spatial pyramid pooling additional module, PANet path-aggregation neck and YOLOv3 head. CSPDarknet53 is a novel backbone that can enhance the learning capability of CNN.

    What’s new in YOLOv4? - Towards Data Science

    towardsdatascience.com
    How do I install yolov4?
    To get started with YOLOv4, you should visit the official YOLOv4 GitHub repository. Follow the installation instructions provided in the README file, which typically include cloning the repository, installing dependencies, and setting up environment variables.

    YOLOv4 - Ultralytics YOLO Docs

    docs.ultralytics.com
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  4. Github
    https://github.com/AlexeyAB/darknet

    AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - GitHub

     
  5. PyImageSearch
    https://pyimagesearch.com/2022/05/16…

    Achieving Optimal Speed and Accuracy in Object …

    May 16, 2022 · In this tutorial, you will learn all about YOLOv4 from a research perspective as we will dive deeper into the workings of this accurate and fast object detection network. We would build the intuition by comparing this …

  6. Roboflow Blog
    https://blog.roboflow.com/yolov4-tactics

    YOLOv4 - Ten Tactics to Build a Better Model - Roboflow Blog

  7. Roboflow
    https://roboflow.com/model/yolov4

    YOLOv4 Darknet Object Detection Model: What is, How to Use

  8. arXiv.org
    https://arxiv.org/pdf/2304.00501v1
    [PDF]

    A Comprehensive Review of YOLO: From YOLOv1 to …

  9. arXiv.org
    https://arxiv.org/html/2304.00501v6

    From YOLOv1 to YOLOv8 and YOLO-NAS - arXiv.org

  10. Ultralytics YOLOv8 Docs
    https://docs.ultralytics.com/models/yolov4

    YOLOv4 - Ultralytics YOLO Docs

  11. arXiv.org
    https://arxiv.org/abs/2004.10934

    Title: YOLOv4: Optimal Speed and Accuracy of Object Detection

  12. Papers With Code
    https://paperswithcode.com/method/yolov4

    YOLOv4 Explained - Papers With Code

  13. Towards Data Science
    https://towardsdatascience.com/whats-new-in-yolov4-323364bb3ad3

    What’s new in YOLOv4?. YOLO is a real-time object …

  14. Medium
    https://medium.com/aiguys/yolo-v4-explained-in...

    YOLO v4 explained in full detail | AIGuys - Medium

  15. Roboflow Blog
    https://blog.roboflow.com/training-yolov4-on-a-custom-dataset

    How to Train YOLOv4 on a Custom Dataset - Roboflow Blog

  16. DataCamp
    https://www.datacamp.com/blog/yolo-object-detection-explained

    YOLO Object Detection Explained: A Beginner's Guide

  17. OpenGenus IQ
    https://iq.opengenus.org/yolov4-model-architecture

    YOLOv4 model architecture - OpenGenus IQ

  18. arXiv.org
    https://arxiv.org/pdf/2209.02976
    [PDF]

    arXiv:2209.02976v1 [cs.CV] 7 Sep 2022

  19. Medium
    https://medium.com/axinc-ai/yolov4-a-machine...

    YOLOv4 : A Machine Learning Model to Detect the Position and …

  20. Roboflow Blog
    https://blog.roboflow.com/scaled-yolov4-tops-efficientdet

    Scaled-YOLOv4 is Now the Best Model for Object Detection

  21. Analytics Vidhya
    https://www.analyticsvidhya.com/blog/2018/12...

    Yolo Framework : Object Detection Using Yolo - Analytics Vidhya