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
Tags:

Bibtex:
@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superseded= {},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}
}


Send Feedback Start
   0.000005
DB Connect
   0.000468
Lookup hash in DB
   0.000409
Get torrent details
   0.000119
Get torrent details, finished
   0.000201
Get authors
   0.000019
Parse bibtex
   0.000057
Write header
   0.000355
get stars
   0.000124
home tab
   0.001566
render right panel
   0.000007
render ads
   0.000400
fetch current hosters
   0.000326
related datasets
   0.009424
Done