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Thanks for the pointers, I will open a draft PR for this!
Since there is not only one version of ImageNet, I propose to mirror PyTorch and have MLDatasets.ImageNet refer to the ImageNet 2012 Classification Dataset (ILSVRC 2012-2017). The ImageNet authors themselves call it "the most highly-used subset of ImageNet".
ImageNet is quite large and locked behind terms of access that require an account.
However it would be nice to be able to either
ENV
) variable to download ImageNet through MLDatasetsand be able to use MLDatasets' interface of
as well as
ImageNet.convert2image(x)
.Ideally data would be in WHCN format for Flux and Metalhead models.
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