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ZENODO
Dataset . 2022
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Dataset . 2022
License: https://opensource.org/licenses/MIT
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: http://opensource.org/licenses/MIT
Data sources: ZENODO
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Animal Recognition Using Methods Of Fine-Grained Visual Analysis - YOLOv5 Object Detection Dataset (Tsinghua Dogs)

Research datakeyboard_double_arrow_right Dataset 17 Jul 2022Publisher:Zenodo
Authors: Tee, Yu Shiang;

doi: 10.5281/zenodo.6848853 , 10.5281/zenodo.6848854

Animal Recognition Using Methods Of Fine-Grained Visual Analysis - YOLOv5 Object Detection Dataset (Tsinghua Dogs)

Abstract

{"references": ["Zou, DN., Zhang, SH., Mu, TJ.\u00a0et al.\u00a0A new dataset of dog breed images and a benchmark for finegrained classification.\u00a0Comp. Visual Media\u00a06,\u00a0477\u2013487 (2020). https://doi.org/10.1007/s41095-020-0184-6"]}

Preprocessed dataset for Tsinghua Dogs in YOLOv5 format.. Ground truth labels for head bounding boxes, body bounding boxes

Related Organizations
Keywords

Cat, Dog, Object Detection, Tsinghua Dogs

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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).
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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.
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.
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