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> ML_LITERATURE // DENG-2009-IMAGENET-LARGE-SCALE-HIERARCHICAL-IMAGE-DATABASE_v1.0

ImageNet: A Large-Scale Hierarchical Image Database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei · IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2009)

dataset2009industry-standardartifactsAvailable
DOI: 10.1109/CVPR.2009.5206848Back to Literature

Principal Contribution

Created ImageNet: a hierarchical image ontology organized by WordNet containing 14 million annotated images across 20,000 synsets.

Operational Relevance

Directly guides deployment choices and architecture selection for task-image-classification.

Assumptions

  • Standard empirical regularity and statistical stability hold across evaluation domains

Limitations

  • Performance characteristics depend on domain distribution and compute allocation parameters

Connected Algorithms, Architectures & Tools

Related Algorithms:
Related Architectures:
Implementing Libraries: