Photographic dataset of ducks bones for cataloging skeletal elements and species.

Fuente: Zenodo
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Autores principales: Paperini, Elisa, Demarchi, Beatrice, Dubbini, Nevio, Gattiglia, Gabriele, Yeomans, Lisa, Sciuto, Claudia
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2025
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author Paperini, Elisa
Demarchi, Beatrice
Dubbini, Nevio
Gattiglia, Gabriele
Yeomans, Lisa
Sciuto, Claudia
author_facet Paperini, Elisa
Demarchi, Beatrice
Dubbini, Nevio
Gattiglia, Gabriele
Yeomans, Lisa
Sciuto, Claudia
contents <p>Version 3.0</p> <p>This record contains:</p> <ul> <li>A dataset consists of 1833 photographs of avifauna remains, mainly ducks. The photos are organised into two zip folders. In one folder, the photographs were divided to classify the skeletal element with a Convolutional Neural Network. In the other folder, the dataset was organised for bird species classification.</li> </ul> <p>In this version, the test typology folder structure was updated, with no changes to the data content..</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17497616
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Photographic dataset of ducks bones for cataloging skeletal elements and species.
Paperini, Elisa
Demarchi, Beatrice
Dubbini, Nevio
Gattiglia, Gabriele
Yeomans, Lisa
Sciuto, Claudia
Zooarchaeology
Digital Archaeology
Convolutional Neural Network
Avifauna
<p>Version 3.0</p> <p>This record contains:</p> <ul> <li>A dataset consists of 1833 photographs of avifauna remains, mainly ducks. The photos are organised into two zip folders. In one folder, the photographs were divided to classify the skeletal element with a Convolutional Neural Network. In the other folder, the dataset was organised for bird species classification.</li> </ul> <p>In this version, the test typology folder structure was updated, with no changes to the data content..</p>
title Photographic dataset of ducks bones for cataloging skeletal elements and species.
topic Zooarchaeology
Digital Archaeology
Convolutional Neural Network
Avifauna
url https://doi.org/10.5281/zenodo.17497616