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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Smithsonian figshare
Dataset . 2021
License: CC BY
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Mask Dataset for: Unconstrained Text Detection in Manga: a New Dataset and Baseline

Authors: julian del gobbo; Rosana Matuk Herrera;

Mask Dataset for: Unconstrained Text Detection in Manga: a New Dataset and Baseline

Abstract

This is the dataset used in out paper "Unconstrained Text Detection in Manga: a New Dataset and Baseline". It contains 450 images with the text segmentation of images from Manga109 dataset (need to request access to this dataset in order to view original manga image). Pre-processed version of the images is how they were saved straight out of GIMP. These were later processed before using for training. Post-processed version of the images is after automatically removing small connected components and filling small holes. They are also slightly bigger in width/height in order to be multiples of 8. The text is split in 2 colors: black and pink. Text in black represents text we consider easy to recognize, which is mostly when inside a speech bubble. Text in pink represents text we consider harder to detect, such as text in covers, sound effects or text outside speech bubbles. Further details can be found in our paper.

Keywords

segmentation, mask, manga, Science Policy, segmentation, Biophysics, Computational Biology, Biochemistry, Microbiology, mask, manga, Sociology, Space Science, Medicine, Physical Sciences not elsewhere classified, Biological Sciences not elsewhere classified

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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!
views
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