Showing 2 open source projects for "logistic"

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    YouTube-8M

    YouTube-8M

    Starter code for working with the YouTube-8M dataset

    ...It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured at ICCV 2019), enabling researchers and practitioners to benchmark video classification models on large-scale datasets with over millions of labeled videos. The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference.
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    Verify authenticity of handwritten signatures through digital image processing and neural networks.
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