ImageNet (ILSVRC 2012)

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

Type: dataset
Venue: Princeton University / Stanford University (ILSVRC)
Year: 2026
Source: huggingface
Access: restricted
Language: English
Added: 2026-07-17T20:18:03.814427+00:00
Verified: 2026-07-17T20:18:03.814427+00:00

Summary

ImageNet ILSVRC 2012 is the most widely used image classification benchmark, containing 1,281,167 training images, 50,000 validation images, and 100,000 test images across 1,000 object classes organized by the WordNet hierarchy. Each image is human-annotated and quality-controlled. It has been the standard evaluation dataset for deep learning vision models since the AlexNet breakthrough in 2012 and remains a foundational benchmark in computer vision.

Keywords

vision image-classification benchmark imagenet wordnet deep-learning ilsvrc

Topics

Vision / Image Classification

Research notes

Requires agreeing to ImageNet Terms of Access on HuggingFace. Non-commercial research and educational use only.