KDKCE/CIFAR-10
收藏Hugging Face2025-07-01 更新2025-07-05 收录
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https://hf-mirror.com/datasets/KDKCE/CIFAR-10
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资源简介：
CIFAR-10数据集是一个广泛使用的计算机视觉数据集，包含60,000张32x32像素的彩色图像，分为10个互斥的类别。该数据集由Alex Krizhevsky、Vinod Nair和Geoffrey Hinton创建，是从8000万小型图像数据集中精选出来的一个标记子集，常用于图像分类任务的基准测试。此Hugging Face版本与原始Kaggle竞赛结构相同，包括额外的垃圾测试图像以防止作弊。
CIFAR-10 is a widely used computer vision dataset consisting of 60,000 32x32 color images in 10 mutually exclusive classes. It was created by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The dataset is a labeled subset of the 80 million tiny images dataset and is often used as a benchmark for image classification tasks. This Hugging Face version mirrors the original Kaggle competition structure, including additional junk test images to discourage cheating.
提供机构：
KDKCE
