> ML_DATASET // IMAGENET-1K_v1.0
ImageNet ILSVRC 2012 (ImageNet-1K)
Stanford University / Princeton University (Deng et al.) · Computer Vision & Object Recognition · 1,281,167 training images across 1,000 synsets
Computer Vision & Object RecognitionCustom Non-Commercial Research License1,281,167 training images across 1,000 synsetsregistration-required
Dataset Profile & Characteristics
Label Type:Single-label categorical (1,000 classes)
Languages:en
License Tier:non-commercial
Modalities:image
Intended Use
- Pretraining computer vision backbones
- Benchmarking visual representation learning
Prohibited / Discouraged Use
- Direct commercial distribution of raw image assets
- Facial surveillance systems
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Web-scraped images containing identifiable human faces without explicit consent.
Known Bias:
Western internet imagery bias; object-centric photos with clean backgrounds.
Known Benchmark Leakage:
Known label noise and co-occurring secondary objects in multi-object scenes.