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- assertion comment "This 2009 paper presents ImageNet, a large-scale image database with 3.2M images across 5,247 categories organized using WordNet's hierarchy. Using web crawling and Amazon Mechanical Turk for quality control, they achieved 99.7% labeling accuracy. The authors demonstrate ImageNet's utility through object recognition, hierarchical classification, and localization experiments, providing a valuable resource for computer vision research and algorithm benchmarking." assertion.
- assertion creator 0000-0002-1784-2920 assertion.
- assertion citesAsRecommendedReading CVPR.2009.5206848 assertion.