README.md

How to setup datasets

After downloading each dataset from the official links, set the image files as the torchvision.datasets.ImageFolder format.
In other words, all images should be constructed as this way:

data/aircraft
├── train
│  ├── Boeing_717
│  │  ├── 1801653.jpg
│  │  ├── 1385089.jpg
│  │  ├── 0181712.jpg
│  │
│  ├── CRJ-900
│  ├── A380
│
├── test
│  ├── Boeing_717

We provide the python files for the ease of ImageFolder generation. Please carefully modify source and target paths in each python files, and run [DATASET_NAME]_image_folder_generator.py to set the right paths for train and test folders.

We also provide the full details of each data we used.

Dataset name (in paper)	name (code)	# of data	Link
Aircraft (FGVC-Aircraft)	aircraft	6,667	https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/
Cars (Stanford Cars)	cars	8,144	https://ai.stanford.edu/~jkrause/cars/car_dataset.html
Pet (Oxford-IIIT Pet)	pets	3,680	https://www.robots.ox.ac.uk/~vgg/data/pets/
Birds (Caltech-UCSD Birds)	cub	5,990	https://www.vision.caltech.edu/datasets/cub_200_2011/
Dogs (Stanford Dogs)	dogs	12,000	http://vision.stanford.edu/aditya86/ImageNetDogs/
Flowers (Oxford 102 Flower)	flowers	2,040	https://www.robots.ox.ac.uk/~vgg/data/flowers/
Actions (Stanford 40 Actions)	stanford40	4,000	http://vision.stanford.edu/Datasets/40actions.html
Indoor (MIT-67 Indoor Scene)	mit67	5,360	https://web.mit.edu/torralba/www/indoor.html
Textures (Describable Textures)	dtd	3,760	https://www.robots.ox.ac.uk/~vgg/data/dtd/
Faces (CelebAMask-HQ)	celeba	4,263	https://github.com/switchablenorms/CelebAMask-HQ
Food (Food 11)	food11	13,296	https://www.kaggle.com/datasets/trolukovich/food11-image-dataset
ImageNet	imagenet	1,281,167	https://www.image-net.org
Microsoft COCO	coco	118,287	https://cocodataset.org/#home
iNaturalist2021-mini	inaturalist	500,000	https://github.com/visipedia/inat_comp/tree/master/2021
Places365	places	8,026,628	https://ai.stanford.edu/~jkrause/cars/car_dataset.html
ALL	everything	9,926,082	-
WebVision	webvision	2,446,037	https://data.vision.ee.ethz.ch/cvl/webvision/dataset2017.html
WebFG-496	webfg	53,339	https://github.com/NUST-Machine-Intelligence-Laboratory/weblyFG-dataset