> ML_DATASET // CIFAR-10_v1.0
CIFAR-10 Dataset (Krizhevsky 2009)
University of Toronto (Alex Krizhevsky) · Computer Vision Education · 60,000 32x32 color images across 10 mutually exclusive classes
Computer Vision EducationMIT / Open Academic60,000 32x32 color images across 10 mutually exclusive classesopen
Dataset Profile & Characteristics
Label Type:Single categorical label (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)
Languages:en
License Tier:permissive-open-source
Modalities:image
Intended Use
- Rapid prototyping of convolutional architectures and optimization techniques
Prohibited / Discouraged Use
- Production high-resolution vision modeling
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Tiny 32x32 resolution images; zero identifiable personal data.
Known Bias:
Heavy visual compression; tiny low-frequency object representations.
Known Benchmark Leakage:
Clean 50,000 train / 10,000 test partition.