[data request] Downsampled ImageNet about datasets HOT 24 CLOSED

Sounds good! Thank you!

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That's great @tabshaikh, thank you!

Yes, I think we should have both using "heavy" configuration, but you can start with just one.

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I'll assign the issue to you as soon as you accept the collaborator invite! 😃

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As this is a good first issue would like to take this up 😀

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There are 2 version of this dataset 32 * 32 images and 64 * 64 images should both be done ?

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@rsepassi invite accepted would have a pr soon :)

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@rsepassi I would love to collaborate with @tabshaikh and make a pull request for Downsampled ImageNet. Please assign it to me also.

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Hi @anupam-tripathi, thanks for your interest! Are you already working directly with @tabshaikh? If not, let's give him a chance to get a PR in. If he'd like the help, then please do work together to get something in!

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No, I have not joined him till now but will surely contact him personally.

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@anupam-tripathi I would love to collaborate with you but the pr is almost done with a few changes left to do and hopefully, I have added the dataset correctly @rsepassi I would do a pr till mid next week as I will be going for an ML hackathon during the weekend, I had some question too would ask in the draft pr
Let us collaborate on adding a big dataset @anupam-tripathi would be great to have a teammate in it

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Ya, surely I will prove to be a good teammate.

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@rodrigob @rsepassi the link for http://image-net.org/small/download.php does not contain the whole dataset of the downsampled imagenet nor does it contain the labels.
Further i found these links https://patrykchrabaszcz.github.io/Imagenet32/ for dataset details and this http://image-net.org/download-images which contains the whole dataset and
I could not understand in which dev kit of imagenet the labels are present as mentioned in this link https://patrykchrabaszcz.github.io/Imagenet32/ ?
Also the data requires login and is present in the form of pickle file which extracts into a dictionary
Can you help me how to proceed with this further :)

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@tabshaikh - Yes, this dataset has only a subset of subsampled imagenet images and does NOT have labels.

This is on purpose - as it was used for autoregressive algorithms, that were generating the output images (rather than trying to predict the class).

Please download from the official link rather than from side-ones.

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@cyfra okay cool

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The idea of this ticket was to create a smaller version of imagenet that is small enough so that most people can prototype and experiment without having to worry about download time or disk-space.

I would suggest to go for 32x32 and 64x64 versions; ideally with labels so that supervised training (à la MNIST and CIFAR) can also be used.

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@rodrigob okay thanks :)

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Any thoughts on doing the 128x128 version while you're at it?

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Joel, looks like there are only 2 versions listed, 32 and 64: http://image-net.org/small/download.php

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@joel-shor Do you have a link to 128x128?

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@rsepassi no there are 4 versions actually 8x8, 16x16, 32x32, 64x64 here http://image-net.org/download-images. The link which you pointed out is incomplete as there is no labels for the same.
@joel-shor can you point me to 128x128 version :)

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Sorry for the delay. The 128x128 imagenet, which is used in a number of state-of-the-art GANs (such as Self Attention GAN), can be found here: https://github.com/openai/improved-gan/blob/master/imagenet/convert_imagenet_to_records.py

If you were able to turn this in to a TFDS data set, you would be a hero!

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@tabshaikh Have you moved on from this?

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Has been added with #613. Closing this now

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