This is my sample kernel for the kaggle competition iMet Collection 2019 - FGVC6 (Recognize artwork attributes from The Metropolitan Museum of Art)
- Pytorch
- Pytorch custom data class
- Transfer learning (Resnet50)
- Multi label classification
- 1103 categories of labels