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ZENODO
Dataset . 2020
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 . 2020
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/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset for Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation

Research datakeyboard_double_arrow_right Dataset 04 Oct 2020 English Publisher:ZenodoFunded by:EC | VHH
Authors: Helm, Daniel; Kampel, Martin;

doi: 10.5281/zenodo.4065499 , 10.5281/zenodo.4065498

Dataset for Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation

Abstract

This repo includes the self-generated dataset as well as the pre-trained models . ISVC 2020 - 15th International Symposium on Visual Computing Paper: Overscan Detection in Digitized Analog Filmsby Precise Sprocket Hole Segmentation Acknowledgement: Visual History of the Holocaust: Rethinking Curation in the Digital Age. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Grant Agreement 822670. https://www.vhh-project.eu

Related Organizations
Keywords

Segmentation, Deep Learning, Historical Film Analysis, Visual History of the Holocaust, Film Archival

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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