Yuantao Feng
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Renaming model files to have more information on architecture, training data and more (#7)
Browse files* add suffix of training dataset, arch & upload time to each model
* update DB-IC15 benchmark results
README.md
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YuNet is a light-weight, fast and accurate face detection model, which achieves 0.834(AP_easy), 0.824(AP_medium), 0.708(AP_hard) on the WIDER Face validation set.
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## Demo
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Run the following command to try the demo:
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YuNet is a light-weight, fast and accurate face detection model, which achieves 0.834(AP_easy), 0.824(AP_medium), 0.708(AP_hard) on the WIDER Face validation set.
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Notes:
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- Model source: [here](https://github.com/ShiqiYu/libfacedetection.train/blob/a61a428929148171b488f024b5d6774f93cdbc13/tasks/task1/onnx/yunet.onnx).
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- For details on training this model, please visit https://github.com/ShiqiYu/libfacedetection.train.
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## Demo
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Run the following command to try the demo:
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