Stanford University / Princeton University
ImageNet
The benchmark for image understanding.
Massive, diverse datasetStandard for image classification benchmFoundation for computer vision modelsFacilitates transfer learning
Today's score
87.0
Where it ranks today
Best for / Not great for
Best for
- Training and evaluating image classifiers
- Benchmarking object recognition models
- Computer vision research
- Fine-tuning pre-trained models
Not great for
- Direct image generation
- Semantic segmentation tasks
- Image captioning
- Real-time performance critical applications
Why it ranks here
While not a generative model, ImageNet remains the fundamental dataset for training and evaluating image classification models. Its influence is waning slightly as newer, more complex datasets and tasks emerge, but it's still a critical reference.
30-day trend
Score breakdown
Search trends87
Benchmarks95
Developer buzz85
News mentions82
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Dataset Download
Free access for academic research.
Free
- Millions of labeled images
- Multiple subsets available
- Standard benchmark