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ImageNet

A dataset of over 14 million labeled images across 22,000 categories, assembled between 2007 and 2009 by Fei-Fei Li and her team at Stanford. ImageNet became the benchmark that proved deep learning worked when AlexNet dominated its competition in 2012.
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