The Gloria2 fish farm escapes identification dataset (v1.0) Article Swipe
Pau Climent-Pérez
,
Adrián V. Montalt
,
Aarón Giménez-Méndez
,
J.M. Valero-Rodríguez
,
Jorge Azorín-López
,
Andrés Fuster-Guilló
,
Kilian Toledo‐Guedes
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7082806
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7082806
This is version 1.0 of the GLORiA2 dataset, which can be used for the training of computer vision models aimed at detecting fish farm escapes caused by sea storms. Escaped fish can be recognized based on their appearance from pictures taken in lab conditions, when compared to farmed and wild specimens. Several images of fish specimens raised in captivity (C), farm escapes (E), and the sea (S) are provided for each of the three considered commercial species: Mediterranean sea bream (S. aurata), sea bass (D. labrax), and meagre (A. regius). The images provided are 224x224 crops of the original images, centred around the fish in the image, as preprocessed by the accompanying Python scripts. Acknowledgement: GLORiA2 is a project supported by the Biodiversity Foundation of the Ministry for the Ecological Transition, through the FEMP Pleamar Programme. It is also part of the LIFE IP INTEMARES project "Integrated, innovative and participatory management of the Natura 2000 Network in the Spanish marine environment", coordinated by the Ministry, through the Biodiversity Foundation.
Related Topics
Metadata
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- OA Status
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4393760115Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.7082806Digital Object Identifier
- Title
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The Gloria2 fish farm escapes identification dataset (v1.0)Work title
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datasetOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-09-01Full publication date if available
- Authors
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Pau Climent-Pérez, Adrián V. Montalt, Aarón Giménez-Méndez, J.M. Valero-Rodríguez, Jorge Azorín-López, Andrés Fuster-Guilló, Kilian Toledo‐GuedesList of authors in order
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https://doi.org/10.5281/zenodo.7082806Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.7082806Direct OA link when available
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Fish
, Identification (biology), Fishery, Geography, Biology, Ecology Top concepts (fields/topics) attached by OpenAlex - Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.recognized | 33 |
| abstract_inverted_index.specimens. | 50 |
| abstract_inverted_index.<strong>sea | 78, 82 |
| abstract_inverted_index.Foundation. | 168 |
| abstract_inverted_index.Transition, | 130 |
| abstract_inverted_index.conditions, | 43 |
| abstract_inverted_index.coordinated | 161 |
| abstract_inverted_index."Integrated, | 146 |
| abstract_inverted_index.Biodiversity | 122, 167 |
| abstract_inverted_index.Mediterranean | 77 |
| abstract_inverted_index.aurata</em>), | 81 |
| abstract_inverted_index.bass</strong> | 83 |
| abstract_inverted_index.environment", | 160 |
| abstract_inverted_index.labrax</em>), | 85 |
| abstract_inverted_index.participatory | 149 |
| abstract_inverted_index.regius</em>). | 89 |
| abstract_inverted_index.bream</strong> | 79 |
| abstract_inverted_index.storms</strong>. | 28 |
| abstract_inverted_index.<strong>detecting | 21 |
| abstract_inverted_index.dataset</strong>, | 7 |
| abstract_inverted_index.scripts</strong>. | 113 |
| abstract_inverted_index.<strong>accompanying | 111 |
| abstract_inverted_index.<strong>sea</strong> | 65 |
| abstract_inverted_index.<strong>three</strong> | 73 |
| abstract_inverted_index.<strong>meagre</strong> | 87 |
| abstract_inverted_index.<strong>Acknowledgement: | 114 |
| abstract_inverted_index.<strong>escapes</strong> | 61 |
| abstract_inverted_index.<strong>species</strong>: | 76 |
| abstract_inverted_index.<strong>GLORiA<sup>2</sup> | 6 |
| abstract_inverted_index.<strong>captivity</strong> | 58 |
| abstract_inverted_index.</strong>GLORiA<sup>2</sup> | 115 |
| abstract_inverted_index.<strong>preprocessed</strong> | 108 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile |