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This is my sample kernel for the kaggle competition iMet Collection 2019 - FGVC6 (Recognize artwork attributes from The Metropolitan Museum of Art)

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Pytorch Transfer Learning image Classification

This is my sample kernel for the kaggle competition iMet Collection 2019 - FGVC6 (Recognize artwork attributes from The Metropolitan Museum of Art)

Highlights of this project:

Pytorch
Pytorch custom data class
Transfer learning (Resnet50)
Multi label classification
1103 categories of labels

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This is my sample kernel for the kaggle competition iMet Collection 2019 - FGVC6 (Recognize artwork attributes from The Metropolitan Museum of Art)

pytorch transfer-learning resnet-50 multilabel-classification

Apache-2.0 license

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