How to Install Datasets

May 5, 2025 · View on GitHub

$DATA denotes the location where datasets are installed, e.g.

$DATA/
|–– office31/
|–– office_home/
|–– visda17/

ImageNet

Download the dataset from the official website
Create a folder named imagenet/ under $DATA.
Extract the validation sets to $DATA/imagenet/val. The directory structure should look like

.
├── ...
├── data                    
│   ├── imagenet            
│   │   ├── val             
│   └── ...                 
└── ...

ImageNetV2

Create a folder named imagenetv2/ under $DATA.
Go to this github repo https://github.com/modestyachts/ImageNetV2.
Download the matched-frequency dataset from https://s3-us-west-2.amazonaws.com/imagenetv2public/imagenetv2-matched-frequency.tar.gz and extract it to $DATA/imagenetv2/.

.
├── ...
├── data                    
│   ├── imagenetv2            
│   │   ├── ImageNetV2-matched-frequency/  
│   └── ...                 
└── ...

ImageNet-R

Create a folder named imagenet-r/ under $DATA.
Download the dataset from https://github.com/hendrycks/imagenet-r.
Extract it to $DATA/imagenet-r/.

The directory structure should look like

.
├── ...
├── data
│   ├── imagenet-r
│   │   ├── n01443537/
│   │   ├── ...
│   └── ...
└── ...

ImageNet-A

Create a folder named imagenet-a/ under $DATA.
Download the dataset from https://github.com/hendrycks/natural-adv-examples.
Extract it to $DATA/imagenet-a/.

The directory structure should look like

.
├── ...
├── data
│   ├── imagenet-a
│   │   ├── n01498041
│   │   ├── ...
│   └── ...
└── ...

ImageNet-S

Create a folder named imagenet-s/ under $DATA.
Download the dataset from https://github.com/LUSSeg/ImageNet-S.
Extract it to $DATA/imagenet-s/.

The directory structure should look like

.
├── ...
├── data
│   ├── imagenet-s
│   │   ├── n01440764/
│   │   ├── ...
│   └── ...
└── ...

CUB-200-2011

Create a folder named CUB_200_2011/ under $DATA.
Download the dataset from https://www.vision.caltech.edu/datasets/cub_200_2011/ and extract it to $DATA/CUB_200_2011/.

The directory structure should look like

.
├── ...
├── data                    
│   ├── CUB-200-2011            
│   └── ...                 
└── ...

Describable Textures Dataset

Download the dataset from https://www.robots.ox.ac.uk/~vgg/data/dtd/ and extract it to $DATA/.

The directory structure should look like

.
├── ...
├── data                    
│   ├── dtd     
│   │   ├── images/        
│   │   ├── imdb/        
│   │   ├── labels/        
│   │   ├── ...         
│   └── ...                 
└── ...

Food-101

Download the dataset from https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/ and extract it to $DATA/.

The directory structure should look like

.
├── ...
├── data                    
│   ├── food-101     
│   │   ├── images/        
│   │   ├── meta/              
│   │   ├── ...         
│   └── ...                 
└── ...

oxford-iiit-pet

Download the dataset from https://www.robots.ox.ac.uk/~vgg/data/pets/ and extract it to $DATA/.

The directory structure should look like

.
├── ...
├── data
│   ├── oxford-iiit-pet
│   │   ├── images/
│   │   ├── annotations/
│   │   ├── ...
│   └── ...
└── ...