small (2 files)
train_64x64.tar |
12.11GB |
valid_64x64.tar |
477.26MB |
Type: Dataset
Metadata:
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.
},
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superseded= {},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
train_64x64.tar