Vaishaal

Sorry you will need to use the pytorch dataloader here: https://github.com/modestyachts/ImageNetV2_pytorch to load the dataset. We don't have compatibility with the ImageFolder dataset currently.

Hello! What are the file name changes you are seeing? I had changed the filenames in the public release temporarily and rolled it back. Could you check now to see...

Hi @expectopatronum & @junsukchoe The current dataset release (the one you can download right now with 10k images is the correct one). We had a mixup with our S3 bucket...

The tar.gz should have 1000 sub-folders which correspond to each of the 1000 imagnet classes (https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a) Is this not what you see?

if you are using pytorch you can use https://github.com/modestyachts/ImageNetV2_pytorch to load the dataset.

Oh did not realize there was a dependency on the filenames! We actually lost the old version of the dataset because the newer version with the candidate ids allows us...

Ah sorry we lost the old filenames. You can use the ImageNetV2 pytorch dataloader: https://github.com/modestyachts/ImageNetV2_pytorch if you'd like code that loads the dataset correctly (so it is compatible with ImageNet-Val)

AH sorry. I moved the dataset to huggingface. For some reason the website has not updated yet: https://huggingface.co/datasets/vaishaal/ImageNetV2/tree/main

Hi @psandovalsegura is right ImageFolder is not natively compatible because our class ids are actually uuids. Just use the class in https://github.com/modestyachts/ImageNetV2_pytorch (should be same class as @psandovalsegura shows above)

Is the problem only for DC-1B or do you have the problem downloading CommonPool as well?