cifar10.tgz135.11MB
Type: Dataset
Tags: fastai

Bibtex:
@article{,
title= {CIFAR10},
author= {Krizhevsky, 2009},
abstract= {60000 32x32 colour images in 10 classes, with 6000 images per class (50000 training images and 10000 test images). Very widely used today for testing performance of new algorithms. This fast.ai datasets version uses a standard PNG format instead of the platform-specific binary formats of the original, so you can use the regular data pipelines in most libraries},
keywords= {fastai},
terms= {},
license= {},
superseded= {},
url= {}
}


Send Feedback Start
   0.000007
DB Connect
   0.000461
Lookup hash in DB
   0.000656
Get torrent details
   0.000682
Get torrent details, finished
   0.000654
Get authors
   0.000040
Parse bibtex
   0.000343
Write header
   0.000656
get stars
   0.000508
home tab
   0.000677
render right panel
   0.000035
render ads
   0.000075
fetch current hosters
   0.000975
Done