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ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.

Full identifier: http://purl.org/aida/ImageNet+introduces+a+revolutionary+3.2-million+image+database+with+99.7%25+accuracy+across+5%2C247+hierarchical+categories%2C+offering+computer+vision+researchers+an+unprecedented+training+resource+that%27s+100%C3%97+larger+than+existing+datasets+and+freely+available+at+image-net.org.

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Described in 1 nanopublication:

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Nanopublication Part Subject Predicate Object Published By Published On
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.
Anne Fouilloux
2025-07-03T09:51:48.546Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.
Anne Fouilloux
2025-07-03T09:51:48.546Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.
Anne Fouilloux
2025-07-03T09:51:48.546Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.
Anne Fouilloux
2025-07-03T09:51:48.546Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.
Anne Fouilloux
2025-07-03T09:51:48.546Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
ImageNet introduces a revolutionary 3.2-million image database with 99.7% accuracy across 5,247 hierarchical categories, offering computer vision researchers an unprecedented training resource that's 100× larger than existing datasets and freely available at image-net.org.
Anne Fouilloux
2025-07-03T09:51:48.546Z