Dataset · Hugging Face

uoft-cs/cifar10

Name: cifar10
Creator: uoft-cs
License: unknown
Keywords: task_categories:image-classification, annotations_creators:crowdsourced, language_creators:found, multilinguality:monolingual, source_datasets:extended|other-80-Million-Tiny-Images, language:en, license:unknown, size_categories:10K<n<100K, format:parquet, modality:image, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

Dataset Card for CIFAR-10 Dataset Summary 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… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar10.

View on Hugging FaceReport an issue

Author / organization	uoft-cs
License (as declared)	unknown
Downloads	224.1K (as reported by Hugging Face)
Likes	135
Created	2 March 2022
Last updated at source	4 January 2024

Embed this entry

<iframe src="https://silytics.si/embed/item/79ed8c3b-4ecb-4481-98b0-0cf9c8a8399a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from uoft-cs

uoft-cs/cifar100Dataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.