Dataset · Hugging Face

mteb/cifar10

Name: cifar10
Creator: mteb
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:polars, library:mlcroissant, 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/mteb/cifar10.

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Author / organization	mteb
License (as declared)	unknown
Downloads	307 (as reported by Hugging Face)
Likes	3
Created	9 February 2026
Last updated at source	9 February 2026

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