CIFAR-100
Abstract
The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 50000 training images and 10000 test images. The dataset can be used in tensorflow and is available in tensorflow.keras.datasets.
Fields of Study & Subjects
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 16 February 2026
- Language
- EN
- Document type
- Dataset