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.5046707
https://zenodo.org/record/5046707
Description
Summary: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.

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