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ZENODO
Dataset . 2022
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 . 2022
License: CC BY
Data sources: Datacite
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iNaturalist Wild Bees

Research datakeyboard_double_arrow_right Dataset 14 Jun 2022 English Publisher:Zenodo
Authors: Chiaburu, Teodor; Haußer, Frank; Bießmann, Felix; Schmid-Egger, Christian;

doi: 10.5281/zenodo.6642156 , 10.5281/zenodo.6642157

Abstract

The dataset contains 726 images of wild bees scraped from the iNaturalist database. There are 25 species with 30 images each (except for Bombus magnus, that only has 6 images). All photos were marked with Research Grade on iNaturalist and were released under the CC-BY-NC license. Along with the images, a json file is also provided; there you can find the part annotations for Head, Thorax and Abdomen for all the photos. The segmentations were drawn in Label Studio. For more information on the data, please visit our GitHub repository .

Related Organizations
Keywords

inaturalist, part segmentations, XAI, deep learning, wild bees, fine grained image analysis, computer vision

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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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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