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CIFAR-10 Object recognition dataset (car, plane, bird, cat...) (60K Images)CIFAR-10 Object recognition dataset (car, plane, bird, cat...) (60K Images)

sweetdata 9 months ago 1.0.0 FREE
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Files

files.zip 157MB train.csv 2MB test.csv 369KB

License

Must cite authors: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009. [https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf]
# Content The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class. # Authors Alex Krizhevsky (CIFAR) # Source https://www.cs.toronto.edu/~kriz/cifar.html

Datasets

Train set (50K entries)cifar-10/train

ID Class Image File

Test set (10K entries)cifar-10/test

ID Class Image File

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