ImageNet
by Deng et al. / Stanford / Princeton · open-source · Last verified 2026-03-17
ImageNet (ILSVRC) is the foundational large-scale visual recognition benchmark with 1.2 million training images across 1,000 object categories. Top-1 and Top-5 accuracy on the validation set have been the standard measure of progress in image classification for over a decade.
https://www.image-net.org ↗A
A—Great
Adoption: A+Quality: AFreshness: C+Citations: A+Engagement: F
Specifications
- License
- Custom (research only)
- Pricing
- open-source
- Capabilities
- evaluation, image-classification, transfer-learning-baseline
- Integrations
- Use Cases
- model-evaluation, computer-vision, transfer-learning
- API Available
- No
- Evaluated Models
- vit-huge, convnext-xxlarge, dinov2, eva-giant
- Metrics
- top-1-accuracy, top-5-accuracy
- Methodology
- 1,000-class image classification evaluated on the 50,000-image validation set. Models predict the top-1 and top-5 class labels; accuracy is computed as the fraction of images where the ground-truth label appears in the prediction.
- Last Run
- 2025-12-15
- Tags
- image-classification, vision, top-1-accuracy, ilsvrc, foundational
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
81.2Adoption
97
Quality
88
Freshness
55
Citations
99
Engagement
0