URL: https://data.uni-hannover.de/dataset/3afb333d-230f-4829-91bb-d4dd41bfdcfa/resource/b1c2f92b-4b69-46fc-9282-16acc7a1c9aa/download/wider.tar.gz

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

Yuanjun Xiong, Kai Zhu, Dahua Lin, Xiaoou Tang: "Recognize complex events from static images by fusing deep channels." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.

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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: WIDER.tar.gz. https://doi.org/10.25835/0072909

DOI retrieved: 05:18 08 May 2021 (GMT)

Additional Information

Field Value
Data last updated November 11, 2020
Metadata last updated unknown
Created unknown
Format TAR
License Creative Commons Attribution-NonCommercial 3.0
Created5 months ago
Media typeapplication/x-tar
last modified5 months ago
on same domainTrue
package id3afb333d-230f-4829-91bb-d4dd41bfdcfa
revision id4364b099-535d-4b1f-9971-3a84edd7c28d
url typeupload