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  7. People also ask
    Why is yolov4 a good choice?YOLOv4 is designed to provide the optimal balance between speed and accuracy, making it an excellent choice for many applications. YOLOv4 architecture diagram. Showcasing the intricate network design of YOLOv4, including the backbone, neck, and head components, and their interconnected layers for optimal real-time object detection.

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    docs.ultralytics.com
    What is a yolov4 object detector?A typical object detector is composed of several parts including the input, the backbone, the neck, and the head. The backbone of YOLOv4 is pre-trained on ImageNet and is used to predict classes and bounding boxes of objects. The backbone could be from several models including VGG, ResNet, ResNeXt, or DenseNet.

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    docs.ultralytics.com
    What is Yolo Lite?Yolo-lite: a real-time object detection algorithm optimized for non-gpu computers. In 2018 IEEE International Conference on Big Data (Big Data), pages 2503–2510. IEEE, 2018. Gabriel Oltean, Camelia Florea, Radu Orghidan, and Victor Oltean. Towards real time vehicle counting using yolo-tiny and fast motion estimation.

    y arXiv:2005.13243v2 [cs.CV] 29 May 2020

    arxiv.org
    What is yolov4 architecture diagram?YOLOv4 architecture diagram. Showcasing the intricate network design of YOLOv4, including the backbone, neck, and head components, and their interconnected layers for optimal real-time object detection. YOLOv4 stands for You Only Look Once version 4.

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    docs.ultralytics.com
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  8. Stack Overflow
    https://stackoverflow.com/questions/69059869

    Using darknet_ros with Yolov3, how to test with mp4 file?

    python - How to save output of darknet YOLOv4 video in a txt file for ...Sep 21, 2020
    python - dectect video with yolov4-tinySep 17, 2020
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  9. Ultralytics YOLOv8 Docs
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  17. arXiv.org
    https://arxiv.org/pdf/2005.13243
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    y arXiv:2005.13243v2 [cs.CV] 29 May 2020

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