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Computing & AI · Source-linked note

ImageNet: a large visual learning resource

ImageNet organized a large collection of labeled images around a semantic hierarchy, providing a reusable resource for visual recognition research.

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ImageNet organized a large collection of labeled images around a semantic hierarchy, providing a reusable resource for visual recognition research.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The dataset is a human-created research resource. Dataset construction, competition performance and subsequent model discoveries are separate contributions; this entry does not reproduce or redistribute its images.

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People and systems

Jia Deng; Wei Dong; Richard Socher; Li-Jia Li; Kai Li; Li Fei-Fei

Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.

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Documented countries / regions: United States

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English catalogue narrative

ImageNet: a large visual learning resource

ImageNet organized a large collection of labeled images around a semantic hierarchy, providing a reusable resource for visual recognition research.

Scientific scope

The dataset is a human-created research resource. Dataset construction, competition performance and subsequent model discoveries are separate contributions; this entry does not reproduce or redistribute its images.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Jia Deng; Wei Dong; Richard Socher; Li-Jia Li; Kai Li; Li Fei-Fei

Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.

Original sources