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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: Datacite
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Dataset of 17K-Graffiti

Authors: , Bahram; , Eric; , Felipe; , Luis; , Claudio; , Jorge;

Dataset of 17K-Graffiti

Abstract

Download the 17K-Graffiti dataset and its pre-trained weights on detecting Graffiti. The dataset provides larger graffiti instances containing a variety of graffiti types and annotated boundary boxes. For additional material regarding Code and data processing, please see the following GitHub repository at https://github.com/visual-ds/17K-Graffiti Please cite the published paper, if you find this dataset helpful on your research work: @conference{visapp22, author={Bahram Lavi and Eric K. Tokuda and Felipe Moreno-Vera and Luis Gustavo Nonato and Claudio T. Silva and Jorge Poco}, title={17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City}, booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP}, year={2022}, pages={968-975}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0010883300003124}, isbn={978-989-758-555-5}, }

Keywords

Graffiti, Object Detection

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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