Expired60% confidenceFactExact time
ImageNet is a large-scale dataset containing 1.28 million images across 1,000 categories.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
PyTorch Image Classification in Practice: Complete Pipeline from Data Preprocessing to Model Training
bilibili程序员是魔法师AI-bx6/17/2026
Related Claims
UnverifiedImageNet数据集花费数年、动用数万名众包标注员才完成140万张图像的分类标注74% similarUnverifiedImageNet was led by Professor Fei-Fei Li beginning in 2007 and contains over 14 million manually annotated images covering more than 20,000 object categories.74% similarUnverifiedImageNet has 14 million annotated images, and COCO has 330,000 annotated images72% similarUnverifiedImageNet contains 14 million images and required tens of thousands of hours of manual annotation69% similarUnverifiedThe training data for modern image generation models typically comes from billions of internet images and their accompanying text descriptions.65% similar
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