@@ -3,10 +3,10 @@ or may come from use cases. All these datasets can be used to gain expertise.
CIFAR-10:
- Description
- Size:
- Description: 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.
- Size: 163 MB (python version)
- File type: compressed archive
- License:
- License: If you're going to use this dataset, please cite the tech report: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009.
