Downloading ImageNet

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Hello, I am developing a model to apply on FMD (Flickr Material Database), but training on that same database just lead to 30% accuracy. Now I’m gonna pre-train the model on ImageNet, but don’t know how to do it. I haven’t yet even discovered how to download it in a simple way. How should I do it?

Also, since don’t have GPUs I am using Colab, wich has a small storage (64GB) in comparison to ImageNet’s size (think 150GB zipped). So I think my way is to upload the dataset to my edu drive account, wich has unlimited storage (as for now).

Thank you!

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If you are just prototyping you might be able to just use a pretrained torchvision model:
https://pytorch.org/vision/stable/models.html

Downloading from the original website is often tricky, but the academic torrents version works well if you have a way to mount or access > 150GB of storage.

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