Downsampled ImageNet 32x32
Aaron van den Oord and Nal Kalchbrenner and Koray Kavukcuoglu

small (2 files)
train_32x32.tar 4.11GB
valid_32x32.tar 161.47MB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {Downsampled ImageNet 32x32},
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superseded= {},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}
}

10 day statistics (11 downloads)

Average Time 15 mins, 25 secs
Average Speed 4.62MB/s
Best Time 2 mins, 48 secs
Best Speed 25.44MB/s
Worst Time 26 mins, 59 secs
Worst Speed 2.64MB/s
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