pytorch-fgvc-dataset
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PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
PyTorch FGVC Dataset
This repo contains some unofficial PyTorch dataset APIs(mainly for Fine-Grained Visual Categorization task), which support automatically download (except large-scale datasets), extract the archives, and prepare the data.
Supported Datasets
- [x] CUB-200-2011
- [x] Stanford Dogs
- [x] Stanford Cars
- [x] FGVC Aircraft
- [x] NABirds
- [x] Tiny ImageNet
- [x] iNaturalist 2017
- [ ] Oxford 102 Flowers
- [ ] Oxford-IIIT Pets
- [ ] Food-101
Usage
The code was tested on
- pytorch==1.4.0
- torchvision==0.4.1
Use them the similar way you use torchvision.datasets
.
train_dataset = Cub2011('./cub2011', train=True, download=False)
test_dataset = Cub2011('./cub2011', train=False, download=False)
Contributing
Feel free to open an issue or PR.
License
MIT