VGG-19-encoded Style Features for AdaIN
Description
1000 randomly selected image features from the painter-by-numbers dataset (small yellow duck and Wendy Kan. Painter by Numbers. https://kaggle.com/competitions/painter-by-numbers, 2016. Kaggle.).
Features are extracted from a VGG-19 network pretrained on imagenet before its final layer. They can be used for StyleTransfer via the AdaIN method, so that it is more efficient.
Reference repository: https://github.com/Georgsiedel/model-based-data-augmentation
Files
Files
(1.6 GB)
| Name | Size | |
|---|---|---|
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md5:fb36ac7b6a4eee5c4210bdb490de02cf
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1.6 GB | Download |
Additional details
Software
- Repository URL
- https://github.com/Georgsiedel/model-based-data-augmentation