yolov4 model download - Search
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  1. Copilot Answer
    Github
    https://github.com › kiyoshiiriemon

    GitHub - kiyoshiiriemon/yolov4_darknet: YOLOv4 - Neural …

    • 1.Train it first on 1 GPU for like 1000 iterations: darknet.exe detector train cfg/coco.data cfg/yolov4.cfg yolov4.conv.137
      2.Then stop and by using partially-trained model … See more

    How to train (to detect your custom objects)

    (to train old Yolo v2 yolov2-voc.cfg, yolov2-tiny-voc.cfg, yolo-voc.cfg, yolo-voc.2.0.cfg, ... click by the link)
    Training Yolo v4 (and v3):
    1.For traini… See more

    Github
    When should I stop training

    Usually sufficient 2000 iterations for each class(object), but not less than number of training images and not less than 6000 iterations in total. But for a more precise definition w… See more

    Github
    How to improve object detection

    1.Before training:
    •set flag random=1 in your .cfg-file - it will increase precision by training Yolo for different resolutions: link
    •increase n… See more

    Github
    yolov4-tiny.weights · homohapiens/darknet-yolov4 at main - Hugging Face
    Hugging Face
    What is yolov4?
    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 design allows YOLOv4 to perform object detection at an impressive speed, making it suitable for real-time applications.
    docs.ultralytics.com

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