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  1. YOLO: Real-Time Object Detection - pjreddie.com

    • Learn how to use YOLO, a state-of-the-art, real-time object detection system, with Darknet. See the paper, the pre-trained model, the config file, and the detection examples.… See more

    How It Works

    Prior detection systems repurpose classifiers or localizers to perform detection. They apply the … See more

    pjreddie.com
    Detection Using A pre-trained Model

    This post will guide you through detecting objects with the YOLO system using a pre-trained model. If you don't already have Darknet installed, you should do that first. Or instead … See more

    pjreddie.com
    Tiny Yolo

    Tiny YOLO is based off of the Darknet reference networkand is much faster but less accurate than the normal YOLO model. To use the version trained on VOC: Which, ok, … See more

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    Real-Time Detection on A Webcam

    Running YOLO on test data isn't very interesting if you can't see the result. Instead of running it on a bunch of images let's run it on the input from a webcam! To run this de… See more

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  2. In terms of speed, YOLO is one of the best models in object recognition, able to recognize objects and process frames at the rate up to 150 FPS for small networks. However, In terms of accuracy mAP, YOLO was not the state of the art model but has fairly good Mean average Precision (mAP) of 63% when trained on PASCAL VOC2007 and PASCAL VOC 2012. However, Fast R-CNN which was the state of the art at that time has an mAP of 71%.

    YOLO v2 and YOLO 9000 was proposed by J. Redmon and A. Farhadi in 2016 in the paper titled YOLO 9000: Better, Faster, Str...

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  3. [1612.08242] YOLO9000: Better, Faster, Stronger - arXiv.org

     
  4. YOLOv2 Explained - Papers With Code

    WEBYOLOv2, or YOLO9000, is a paper and code that improves upon YOLOv1 with Darknet-19, batch normalization, high-resolution classifier, and anchor boxes. See the paper, code, results, and usage over time of this object …

  5. YOLO v2 Comprehensive Tutorial: Building on YOLO …

    WEBOct 11, 2023 — In this comprehensive guide, we’ll dive into YOLOv2, the improved version of the YOLO (You Only Look Once) object detection algorithm. We’ll explore how YOLOv2 learned from the mistakes of...

  6. A Comprehensive Review of YOLO Architectures in Computer …

  7. A Better, Faster, and Stronger Object Detector (YOLOv2)

    WEBApr 18, 2022 — Learn how to use YOLOv2, a real-time object detection model that improves on YOLOv1 with novel Darknet-19 architecture, batch normalization, anchor boxes, and more. See how to train and run

  8. Review: YOLOv2 & YOLO9000 — You Only Look …

    WEBNov 21, 2018 — In this story, YOLOv2, You Only Look Once version 2, is reviewed. YOLOv2 has numerous improvements over YOLOv1. YOLO9000 is also proposed to detect over 9000 object categories using WordTree.

  9. YOLO9000: Better, Faster, Stronger - IEEE Xplore

  10. Deep Dive on YOLOv2 and YOLO9000 | Analytics …

    WEBAug 31, 2020 — Learn how YOLOv2 and YOLO9000 are Better, Faster, and Stronger versions of the YOLO object detection model.

  11. YOLO Object Detection Explained: A Beginner's Guide

    WEBSep 28, 2022 — Learn what YOLO is, how it works, and why it is popular for object detection. This article covers the basics of YOLO, its architecture, its evolution, and some real-life applications.

  12. Understanding YOLO and YOLOv2 - Manal El Aidouni

  13. YOLO — You only look once, real time object detection explained

  14. YOLOv2 in Keras and Applications - GitHub

  15. YOLO v2 - Object Detection - GeeksforGeeks

  16. Yolo 2 Explained. Raw Output to Bounding Boxes | by Zixuan …

  17. Getting Started with YOLO v2 - MATLAB & Simulink - MathWorks

  18. An Improved YOLOv2 for Vehicle Detection - PMC - National …

  19. User-interactive salient object detection using YOLOv2, lazy …

  20. longcw/yolo2-pytorch: YOLOv2 in PyTorch - GitHub

  21. Multi-Scale Vehicle Detection for Foreground-Background Class …

  22. An Improved YOLOv2 for Vehicle Detection - MDPI

  23. Some results have been removed