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:

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superseded= {},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

Send Feedback Start
   0.000008
DB Connect
   0.000732
Lookup hash in DB
   0.000584
Get torrent details
   0.000182
Get torrent details, finished
   0.000348
Get authors
   0.000030
Parse bibtex
   0.000205
Write header
   0.000394
get stars
   0.000174
home tab
   0.002164
render right panel
   0.000052
render ads
   0.000774
fetch current hosters
   0.000538
related datasets
   0.016152
Done