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  1. pjreddie.com
    https://pjreddie.com/darknet/yolo

    YOLO: Real-Time Object Detection - pjreddie.com

    • YOLOv3 is extremely fast and accurate. In mAP measured at .5 IOU YOLOv3 is on par with Focal Loss but about 4x faster. Moreover, you can easily tradeoff between speed and accuracy simply by changin… See more

    How It Works

    Prior detection systems repurpose classifiers or localizers to perform detection. They apply the model to an image at multiple locations and scales. High scoring regions of t… 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
    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

    pjreddie.com
    Training Yolo on Voc

    You can train YOLO from scratch if you want to play with different training regimes, hyper-parameters, or datasets. Here's how to get it working on the Pascal VOC dataset.… See more

    pjreddie.com
    How accurate is yolov3?
    YOLOv3 is extremely fast and accurate. In mAP measured at .5 IOU YOLOv3 is on par with Focal Loss but about 4x faster. Moreover, you can easily tradeoff between speed and accuracy simply by changing the size of the model, no retraining required! Prior detection systems repurpose classifiers or localizers to perform detection.
    pjreddie.com
    Feedback
    Table of Contents
    How It Works
    Detection Using A pre-trained Model
    Real-Time Detection on A Webcam
    Training Yolo on Voc
    How accurate is yolov3?
     

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  2. Github
    https://github.com/ultralytics/yolov3

    ultralytics/yolov3: YOLOv3 in PyTorch > ONNX > CoreML > …

     
  3. Ultralytics YOLOv8 Docs
    https://docs.ultralytics.com/models/yolov3

    YOLOv3 - Ultralytics YOLO Docs

  4. Github
    https://github.com/ultralytics/yolov3/wiki

    Home · ultralytics/yolov3 Wiki - GitHub

  5. Ultralytics YOLOv8 Docs
    https://docs.ultralytics.com

    Home - Ultralytics YOLO Docs

  7. Github
    https://github.com/ultralytics/yolov3/releases

    Releases · ultralytics/yolov3 - GitHub

  8. DEV Community
    https://dev.to/afrozchakure/all-you-need-to-know...

    All you need to know about YOLO v3 (You Only Look Once)

  9. People also ask
    What is yolov3?
    This YOLOv3 release merges the most recent updates to YOLOv5 featured in the April 11th, 2021 YOLOv5 v5.0 release into this repository. This is part of routine Ultralytics maintenance and takes place on every major YOLOv5 release. Full details on the YOLOv5 v5.0 release is below.

    Releases · ultralytics/yolov3 - GitHub

    github.com
    What is yolov3 machine learning?
    The general machine learning workflow. What is YOLOv3? YOLOv3 is an object detection algorithm in the YOLO family of models. Using a CNN with 106 layers, YOLO offers both high accuracy and a robust speed that makes the model suitable for real-time object detection.

    Training a YOLOv3 Object Detection Model with a Custom Dataset

    blog.roboflow.com
    How accurate is yolov3?
    YOLOv3 is extremely fast and accurate. In mAP measured at .5 IOU YOLOv3 is on par with Focal Loss but about 4x faster. Moreover, you can easily tradeoff between speed and accuracy simply by changing the size of the model, no retraining required! Prior detection systems repurpose classifiers or localizers to perform detection.

    YOLO: Real-Time Object Detection - pjreddie.com

    pjreddie.com
    Is yolov3 obsolete?
    YOLOv3 is now obsolete, with newer models being faster and more accurate. With that said, YOLOv3 still has a notable place in the history of computer vision. To learn more about the YOLO family of models, read our YOLO models post.

    What is YOLOv3? An Introductory Guide. - Roboflow Blog

    blog.roboflow.com
    What is yolov3 algorithm?
    Various algorithms can be used for object detection but we will be focusing on YoloV3 algorithm. You Only Look Once or more popularly known as YOLO is one of the fastest real-time object detection algorithm (45 frames per second) as compared to the R-CNN family (R-CNN, Fast R-CNN, Faster R-CNN, etc.)

    Object Detection using YoloV3 and OpenCV | by Nandini Bansal | Towar…

    towardsdatascience.com
    What is yolov3 model architecture?
    The model architecture we’ll use is called YOLOv3, or You Only Look Once, by Joseph Redmon. This specific model is a one-shot learner, meaning each image only passes through the network once to make a prediction, which allows the architecture to be very performant, viewing up to 60 frames per second in predicting against video feeds.

    Training a YOLOv3 Object Detection Model with a Custom Dataset

    blog.roboflow.com
    Feedback
  10. viso.ai
    https://viso.ai/deep-learning/yolov3-overview

    YOLOv3: Real-Time Object Detection Algorithm (Guide) - viso.ai

  11. arXiv.org
    https://arxiv.org/abs/1804.02767

    [1804.02767] YOLOv3: An Incremental Improvement - arXiv.org

  12. ultralytics.github.io
    https://ultralytics.github.io/yolov3

    yolov3 | YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  13. Hugging Face
    https://huggingface.co/amd/yolov3

    amd/yolov3 - Hugging Face

  14. Papers With Code
    https://paperswithcode.com/method/yolov3

    YOLOv3 Explained - Papers With Code

  15. GeeksForGeeks
    https://www.geeksforgeeks.org/yolov3-from-scratch-using-pytorch

    YOLOv3 From Scratch Using PyTorch - GeeksforGeeks

  16. LearnOpenCV
    https://learnopencv.com/deep-learning-based-object...

    YOLOv3 - Deep Learning Based Object Detection - LearnOpenCV

  17. Roboflow Blog
    https://blog.roboflow.com/training-a-yolov3-object...

    Training a YOLOv3 Object Detection Model with a Custom Dataset

  18. Medium
    https://medium.com/analytics-vidhya/understanding...

    YOLO for Object Detection, Architecture Explained! - Medium

  19. Towards Data Science
    https://towardsdatascience.com/object-detection...

    Object Detection using YoloV3 and OpenCV | by Nandini Bansal

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

    A Comprehensive Review of YOLO Architectures in Computer …

  21. Roboflow Blog
    https://blog.roboflow.com/what-is-yolov3

    What is YOLOv3? An Introductory Guide. - Roboflow Blog

  22. Machine Learning Mastery
    https://machinelearningmastery.com/how-to-perform...

    How to Perform Object Detection With YOLOv3 in Keras