Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications

This images dataset, called also TD (Training Dataset), is designed to train/test/validate deep learning models to identify fish species in sonar camers video flux. It includes data from two different type of cameras (ARIS and DIDSON), two sites (Touques and Selune rivers in Normandy, France), 6 dif...

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Bibliographic Details
Main Authors: Fernandez Garcia, Guglielmo, Martignac, François
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
acoustic camera video
deep learning
training dataset
sonar camera
ARIS
DIDSON
Freshwater fish
Aris
Atlantic salmon
European eel
Online Access:https://dx.doi.org/10.5281/zenodo.5046708
https://zenodo.org/record/5046708
id ftdatacite:10.5281/zenodo.5046708
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5046708 2023-05-15T15:31:56+02:00 Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications Fernandez Garcia, Guglielmo Martignac, François 2021 https://dx.doi.org/10.5281/zenodo.5046708 https://zenodo.org/record/5046708 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5046707 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY acoustic camera video deep learning training dataset sonar camera ARIS DIDSON Freshwater fish dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5046708 https://doi.org/10.5281/zenodo.5046707 2021-11-05T12:55:41Z This images dataset, called also TD (Training Dataset), is designed to train/test/validate deep learning models to identify fish species in sonar camers video flux. It includes data from two different type of cameras (ARIS and DIDSON), two sites (Touques and Selune rivers in Normandy, France), 6 different fishes classes (Atlantic Salmon, European Eel, Sea Lamprey, Allis Shad, European Catfish and generic unidentified fish). This dataset, formatted in the yolo-darknet format as explained in https://github.com/AlexeyAB/darknet, includes also a large number of images without any fish passage, in order to test the effect of negative data on the trainings. Dataset Atlantic salmon European eel DataCite Metadata Store (German National Library of Science and Technology) Aris ENVELOPE(-61.400,-61.400,-70.633,-70.633)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic acoustic camera video
deep learning
training dataset
sonar camera
ARIS
DIDSON
Freshwater fish
spellingShingle acoustic camera video
deep learning
training dataset
sonar camera
ARIS
DIDSON
Freshwater fish
Fernandez Garcia, Guglielmo
Martignac, François
Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications
topic_facet acoustic camera video
deep learning
training dataset
sonar camera
ARIS
DIDSON
Freshwater fish
description This images dataset, called also TD (Training Dataset), is designed to train/test/validate deep learning models to identify fish species in sonar camers video flux. It includes data from two different type of cameras (ARIS and DIDSON), two sites (Touques and Selune rivers in Normandy, France), 6 different fishes classes (Atlantic Salmon, European Eel, Sea Lamprey, Allis Shad, European Catfish and generic unidentified fish). This dataset, formatted in the yolo-darknet format as explained in https://github.com/AlexeyAB/darknet, includes also a large number of images without any fish passage, in order to test the effect of negative data on the trainings.
format Dataset
author Fernandez Garcia, Guglielmo
Martignac, François
author_facet Fernandez Garcia, Guglielmo
Martignac, François
author_sort Fernandez Garcia, Guglielmo
title Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications
title_short Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications
title_full Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications
title_fullStr Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications
title_full_unstemmed Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications
title_sort acoustic video cameras multi-species multi-cameras training dataset (td) for deep learning applications
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5046708
https://zenodo.org/record/5046708
long_lat ENVELOPE(-61.400,-61.400,-70.633,-70.633)
geographic Aris
geographic_facet Aris
genre Atlantic salmon
European eel
genre_facet Atlantic salmon
European eel
op_relation https://dx.doi.org/10.5281/zenodo.5046707
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.5046708
https://doi.org/10.5281/zenodo.5046707
_version_ 1766362438440058880

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