RED.tar.gz

URL: https://data.uni-hannover.de/dataset/3afb333d-230f-4829-91bb-d4dd41bfdcfa/resource/d0f5cd8b-7c3e-4055-9810-f9cba2b69a33/download/red.tar.gz

Ontology, corresponding meta information, and splits for the RED dataset introduced by:

Unaiza Ahsan, Chen Sun, James Hays, Irfan A. Essa: "Complex event recognition from images with few training examples." 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2017.

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Cite this as

Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth (2020). Dataset: VisE-D: Visual Event Classification Dataset. Resource: RED.tar.gz. https://doi.org/10.25835/0072909

DOI retrieved: 16:49 12 Apr 2021 (GMT)

Additional Information

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Data last updated November 11, 2020
Metadata last updated unknown
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formatTAR
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on same domainTrue
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