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Download and Prepare ImageNet with Kaggle Step by step

The official kaggle website for ImageNet dataset is here.

  1. run pip3 install kaggle.

  2. Register an account at kaggle.

  3. Agree the terms and conditions on the dataset page.

  4. Go to your account page (https://www.kaggle.com//account). Select 'Create API Token' and this will trigger the download of kaggle.json, a file containing your API credentials.

  5. Copy this file into your server at ~/.kaggle/kaggle.json

  6. run command chmod 600 ~/.kaggle/kaggle.json and make it visible only to yourself.

  7. run command kaggle competitions download -c imagenet-object-localization-challenge.

  8. Unzip the file unzip -q imagenet-object-localization-challenge.zip and tar -xvf imagenet_object_localization_patched2019.tar.gz

  9. Enter the validation set folder cd ILSVRC/Data/CLS-LOC/val

  10. run scrip sh/prepare_imagenet.sh provided by the PyTorch repository, to move the validation subset to the labeled subfolders.

  11. The --datadir you need to feed into train.py is the path of the folder ILSVRC.