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superseded= {},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
   0.000007
DB Connect
   0.000569
Lookup hash in DB
   0.000548
Get torrent details
   0.000356
Get torrent details, finished
   0.000567
Get authors
   0.000024
Parse bibtex
   0.000096
Write header
   0.000435
get stars
   0.000166
home tab
   0.000314
render right panel
   0.000003
render ads
   0.000481
fetch current hosters
   0.000353
Done