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

    What is YOLOv4? A Detailed Breakdown. - Roboflow …

    • 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
    How accurate is Yolo V4?
    YOLO v4 also based on the Darknet and has obtained an AP value of 43.5 percent on the COCO dataset along with a real-time speed of 65 FPS on the Tesla V100, beating the fastest and most accurate detectors in terms of both speed and accuracy. When compared with YOLO v3, the AP and FPS have increased by 10 percent and 12 percent, respectively.
    towardsdatascience.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
    How accurate is Yolo V4?
     

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  2. Towards Data Science
    https://towardsdatascience.com/yolo-v4-optimal...

    YOLO v4: Optimal Speed & Accuracy for object detection

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

    YOLOv4 - Ultralytics YOLO Docs

  4. Medium
    https://medium.com/nerd-for-tech/from-yol…

    From YOLO to YOLOv8: Tracing the Evolution of …

    Mar 31, 2023 · Choose the version of YOLO that best aligns with your specific needs for speed, accuracy, hardware constraints, and ease of use. YOLOv4: State-of-the-Art (Release Date: April 2020) YOLOv4...

  5. opencv.ai
    https://www.opencv.ai/blog/yolo-unrav…

    The Ultimate Guide to YOLO (You Only Look Once)

    Jan 25, 2024 · Explore the YOLO (You Only Look Once) model evolution, from foundational principles to the latest advancements in object detection, guiding both developers and researchers towards optimal application and understanding.

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

    Title: YOLOv4: Optimal Speed and Accuracy of Object Detection

  7. People also ask
    What is Yolo V4?
    YOLOv8 is now the state of the art YOLO model. Learn more about YOLOv8 in our architectural breakdown and how to train a YOLOv8 model guides. The realtime object detection space remains hot and moves ever forward with the publication of YOLO v4. Relative to inference speed, YOLOv4 outperforms other object detection models by a significant margin.

    What is YOLOv4? A Detailed Breakdown. - Roboflow Blog

    blog.roboflow.com
    When should I use Yolo V3 or yolov4?
    Use YOLOv3 when you need a fast and accurate model but with lower computational requirements than YOLOv4. An older version doesn’t necessarily mean it gets left behind. Choose the version of YOLO that best aligns with your specific needs for speed, accuracy, hardware constraints, and ease of use.

    From YOLO to YOLOv8: Tracing the Evolution of Object Detection ... - M…

    medium.com
    How accurate is Yolo V4?
    YOLO v4 also based on the Darknet and has obtained an AP value of 43.5 percent on the COCO dataset along with a real-time speed of 65 FPS on the Tesla V100, beating the fastest and most accurate detectors in terms of both speed and accuracy. When compared with YOLO v3, the AP and FPS have increased by 10 percent and 12 percent, respectively.

    YOLO v4 or YOLO v5 or PP-YOLO? - Towards Data Science

    towardsdatascience.com
    How fast is Yolo V4?
    This makes it possible to train a super fast and accurate object detector with a single 1080 Ti or 2080 Ti GPU. YOLO v4 achieves state-of-the-art results at a real time speed on the MS COCO dataset with 43.5 % AP running at 65 FPS on a Tesla V100.

    YOLO v4: Optimal Speed & Accuracy for object detection

    towardsdatascience.com
    What is Yolo model?
    In the original YOLO model, the primary focus was on achieving high-speed object detection. The model utilized a single convolutional neural network (CNN) to directly predict object locations and classes from the input image, enabling real-time processing.

    A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond

    arxiv.org
    How to improve Yolo V4?
    EfficientDet is considered as one of the most accurate object detectors. Hence, some of its features can be used to improve YOLO V4. EfficientDet uses the EfficientNet as the backbone feature extractor and BiFPN as the neck.

    YOLO-v4 Object Detector - reckoning.dev

    reckoning.dev
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  8. Medium
    https://medium.com/aiguys/yolo-v4-explained-in...

    YOLO v4 explained in full detail | AIGuys - Medium

  9. Towards Data Science
    https://towardsdatascience.com/whats-ne…

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

    May 19, 2020 · YOLO is a futuristic recognizer that has faster FPS and is more accurate than available detectors. The detector can be trained and used on a conventional GPU which enables widespread adoption. New features in …

  10. Github
    https://github.com/.../main/docs/en/models/yolov4.md

    ultralytics/docs/en/models/yolov4.md at main - GitHub

  11. Towards AI
    https://pub.towardsai.net/breaking-down-y…

    Breaking Down YOLO’s (version 4) State-Of-The-Art …

    Apr 6, 2023 · The latest installment of the YOLO architecture (YOLOv4) made its debut in April 2020 as the most recent iteration [1]. It was created by developers Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. YOLOv4 …

  12. reckoning.dev
    https://reckoning.dev/blog/yolo-v4

    YOLO-v4 Object Detector - reckoning.dev

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

    YOLOv4 model architecture - OpenGenus IQ

  14. Github
    https://github.com/RobotEdh/Yolov-4

    RobotEdh/Yolov-4: Yolo v4 using TensorFlow 2.x - GitHub

  15. LearnOpenCV
    https://learnopencv.com/mastering-all-yolo-models

    Mastering All YOLO Models from YOLOv1 to YOLOv9: Papers

  16. Synced
    https://syncedreview.com/2020/04/27/yolo-is-back...

    YOLO Is Back! Version 4 Boasts Improved Speed and Accuracy

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

    A Comprehensive Review of YOLO: From YOLOv1 to …

  18. Medium
    https://medium.com/syncedreview/yolo-is-back...

    YOLO Is Back! Version 4 Boasts Improved Speed and Accuracy

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

    YOLOv4 Explained - Papers With Code

  20. Towards Data Science
    https://towardsdatascience.com/yolo-v4-or-yolo-v5...

    YOLO v4 or YOLO v5 or PP-YOLO? - Towards Data Science