Dataset Card for CIFAR 100 Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: CIFAR Datasets Repository: Paper: Paper Leaderboard: Point of Contact: Dataset Summary The CIFAR 100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses. There are two labels per image fine label (actual class) and coarse label (superclass). Supported Tasks and Leaderboards image classification : The goal of this task is to classify a given image into one of 100 classes. The leaderboard is available here. Languages English Dataset Structure Data Instances A sample from the training s…
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