Dataset · Hugging Face

renumics/cifar100-enriched

Name: cifar100-enriched
Creator: renumics
License: mit
Keywords: task_categories:image-classification, annotations_creators:crowdsourced, language_creators:found, multilinguality:monolingual, source_datasets:extended|other-80-Million-Tiny-Images, language:en, license:mit, size_categories:10K<n<100K, modality:image, modality:text, modality:timeseries, library:datasets, library:mlcroissant, region:us, image classification

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).

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Author / organization	renumics
License (as declared)	mit
Downloads	1.4K (as reported by Hugging Face)
Likes	4
Created	21 April 2023
Last updated at source	6 June 2023

image classificationcifar-100cifar-100-enrichedembeddingsenhancedspotlightrenumics

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