Dataset · Hugging Face

flwrlabs/cinic10

Name: cinic10
Creator: flwrlabs
License: cc-by-4.0
Keywords: task_categories:image-classification, license:cc-by-4.0, size_categories:100K<n<1M, format:parquet, modality:image, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:1810.03505, arxiv:2007.14390, region:us

Dataset Card for CINIC-10 CINIC-10 has a total of 270,000 images equally split amongst three subsets: train, validate, and test. This means that CINIC-10 has 4.5 times as many samples than CIFAR-10. Dataset Details In each subset (90,000 images), there are ten classes (identical to CIFAR-10 classes). There are 9000 images per class per subset. Using the suggested data split (an equal three-way split), CINIC-10 has 1.8 times as many training samples as in… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/cinic10.

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Author / organization	flwrlabs
License (as declared)	cc-by-4.0
Downloads	10.2K (as reported by Hugging Face)
Likes	2
Created	7 August 2024
Last updated at source	7 August 2024

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16 Oct 2026 Description: Dataset Card for CINIC-10 CINIC-10 has a total of 270,000 images equally split amongst three subsets: train, validate, and test. This means that CINIC-10 has 4.5 times as many samples than CIFAR-10. Dataset Details In each subset (90,000 im → Dataset Card for CINIC-10 CINIC-10 has a total of 270,000 images equally split amongst three subsets: train, validate, and test. This means that CINIC-10 has 4.5 times as many samples than CIFAR-10. Dataset Details In each subset (90,000 im

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