Downsampled ImageNet 64x64
Aaron van den Oord and Nal Kalchbrenner and Koray Kavukcuoglu

folder small (2 files)
filetrain_64x64.tar 12.11GB
filevalid_64x64.tar 477.26MB
Type: Dataset
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Metadata:
@article{,
title= {Downsampled ImageNet 64x64},
keywords= {},
author= {Aaron van den Oord and Nal Kalchbrenner and Koray Kavukcuoglu},
abstract= {This page includes downsampled ImageNet images, which can be used for density estimation and generative modeling experiments. Images come in two resolutions: 32x32 and 64x64, and were introduced in Pixel Recurrent Neural Networks. Please refer to the Pixel RNN paper for more details and results. 

![](https://i.imgur.com/s6gdDuX.jpg)},
terms= {},
license= {},
superseded= {},
url= {http://image-net.org/small/download.php}
}

Citation:
Oord, A. V. D., Kalchbrenner, N., & Kavukcuoglu, K.. (2017). Downsampled ImageNet 64x64 [Data set]. Academic Torrents. https://academictorrents.com/details/96816a530ee002254d29bf7a61c0c158d3dedc3b

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