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ImageNet
A massive visual database designed for use in visual object recognition software research.
Why It Was Important
Fei-Fei Li recognized that advanced algorithms were useless without massive, labeled datasets to train them. Utilizing Amazon Mechanical Turk, her team labeled over 14 million images across 20,000 categories. The subsequent ImageNet Challenge provided the benchmark that sparked the 2012 deep learning revolution.
Who Invented It
Fei-Fei Li
Stanford professor and pioneer of data-centric AI.
Applications
- Computer Vision Benchmarking
- Deep Learning Datasets
- Transfer Learning bases
Key Papers
- ImageNet: A Large-Scale Hierarchical Image Database
Jia Deng et al. · CVPR 2009