Expired60% confidenceFactExact time
The CIFAR dataset was released by the Canadian Institute for Advanced Research and contains 60,000 color images of 32×32 pixels divided into 10 categories.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedCIFAR-10 is an image classification benchmark dataset released by Alex Krizhevsky and Geoffrey Hinton in 2009, containing 60,000 32×32 pixel color images across 10 categories, with 50,000 for training and 10,000 for testing.79% similarVerifiedThe Olivetti Faces dataset contains 64×64 grayscale facial images of 40 individuals, with 10 images each taken under different conditions.56% similarUnverifiedSA-1B 数据集包含约 1100 万张图像和超过 10 亿个自动生成的高质量掩膜56% similarUnverifiedThe COCO dataset contains 330,000 images, 80 categories, and 1.5 million object instances.56% similarUnverified疟疾细胞数据集包含约27,000张已标注细胞图像，由美国国立卫生研究院（NIH）下属的Lister Hill国家生物医学通讯中心发布，图像分辨率约为100×100像素55% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/49076API
curl https://kongchang.com/api/v1/knowledge/claims/49076MCP
get_claim(id=49076)