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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: 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 . 2021
License: CC BY
Data sources: Datacite
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VSLID

Authors: Cian, David; Kam, Berend; Abderrazik, Hiba;
Abstract

VSLID stands for Very Small Lego Image Dataset. It has a bit over 1800 images of piles of LEGO bricks of 85 different types. There are between 1 and 10 bricks per image. Backgrounds and lighting conditions vary. All images are annotated with a list of the visible bricks. The images can have two resolutions, so rescaling them is recommended before usage. There are three folders each containing two subfolders named Renders and Sets. The Renders subfolder contains the photos in PNG format, while the Sets subfolder contains a brick_sets.csv file recording just the identifiers of the bricks present in each image and a labels.csv file additionally recording the time of day the photo was taken at and its background.

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Keywords

visual recognition, computer vision, multi-label classification, LEGO

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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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