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

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. 

terms= {},
license= {},
superseded= {},
url= {}

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Average Speed 142.36kB/s
Best Time 5 mins, 00 secs
Best Speed 14.25MB/s
Worst Time 8 days,03 hrs, 19 mins, 53 secs
Worst Speed 6.08kB/s