Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.

Sokolova, Maria; Cordova Neira, Manuel; Nap, Henk; van Helmond, Edwin; Mans, Michiel; Vroegop, Arjan; Mencarelli, Angelo; Kootstra, Gert

Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.

The dataset contains images of the discarded fish on the conveyor belt and annotations. Annotations are prepared in YOLO format, i.e. separate text files, containing fish species label, object bounding box annotation, weight and occlusion level. Annotation per individual fish is written in a separate row of the file. Additionally, we provide weight file (.pt) for the best performing Detection-Weight2 model.

Saved in:

Bibliographic Details
Main Authors:	Sokolova, Maria, Cordova Neira, Manuel, Nap, Henk, van Helmond, Edwin, Mans, Michiel, Vroegop, Arjan, Mencarelli, Angelo, Kootstra, Gert
Format:	Dataset biblioteca
Published:	Wageningen University & Research
Subjects:	YOLOv5, computer vision, fisheries, occlusion, weight estimation,
Online Access:	https://research.wur.nl/en/datasets/data-underlying-the-publication-an-integrated-end-to-end-deep-neu
Tags:	Add Tag No Tags, Be the first to tag this record!

id	dig-wur-nl-wurpubs-617507
record_format	koha
spelling	dig-wur-nl-wurpubs-6175072025-01-09 Sokolova, Maria Cordova Neira, Manuel Nap, Henk van Helmond, Edwin Mans, Michiel Vroegop, Arjan Mencarelli, Angelo Kootstra, Gert Dataset Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation. 2023 The dataset contains images of the discarded fish on the conveyor belt and annotations. Annotations are prepared in YOLO format, i.e. separate text files, containing fish species label, object bounding box annotation, weight and occlusion level. Annotation per individual fish is written in a separate row of the file. Additionally, we provide weight file (.pt) for the best performing Detection-Weight2 model. Wageningen University & Research text/html https://research.wur.nl/en/datasets/data-underlying-the-publication-an-integrated-end-to-end-deep-neu 10.4121/a6d5a40e-0358-47cf-9ec1-335df0e4a3c3 https://edepot.wur.nl/636099 YOLOv5 computer vision fisheries occlusion weight estimation Wageningen University & Research
institution	WUR NL
collection	DSpace
country	Países bajos
countrycode	NL
component	Bibliográfico
access	En linea
databasecode	dig-wur-nl
tag	biblioteca
region	Europa del Oeste
libraryname	WUR Library Netherlands
topic	YOLOv5 computer vision fisheries occlusion weight estimation YOLOv5 computer vision fisheries occlusion weight estimation
spellingShingle	YOLOv5 computer vision fisheries occlusion weight estimation YOLOv5 computer vision fisheries occlusion weight estimation Sokolova, Maria Cordova Neira, Manuel Nap, Henk van Helmond, Edwin Mans, Michiel Vroegop, Arjan Mencarelli, Angelo Kootstra, Gert Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
description	The dataset contains images of the discarded fish on the conveyor belt and annotations. Annotations are prepared in YOLO format, i.e. separate text files, containing fish species label, object bounding box annotation, weight and occlusion level. Annotation per individual fish is written in a separate row of the file. Additionally, we provide weight file (.pt) for the best performing Detection-Weight2 model.
format	Dataset
topic_facet	YOLOv5 computer vision fisheries occlusion weight estimation
author	Sokolova, Maria Cordova Neira, Manuel Nap, Henk van Helmond, Edwin Mans, Michiel Vroegop, Arjan Mencarelli, Angelo Kootstra, Gert
author_facet	Sokolova, Maria Cordova Neira, Manuel Nap, Henk van Helmond, Edwin Mans, Michiel Vroegop, Arjan Mencarelli, Angelo Kootstra, Gert
author_sort	Sokolova, Maria
title	Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
title_short	Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
title_full	Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
title_fullStr	Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
title_full_unstemmed	Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
title_sort	data underlying the publication: an integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
publisher	Wageningen University & Research
url	https://research.wur.nl/en/datasets/data-underlying-the-publication-an-integrated-end-to-end-deep-neu
work_keys_str_mv	AT sokolovamaria dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT cordovaneiramanuel dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT naphenk dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT vanhelmondedwin dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT mansmichiel dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT vroegoparjan dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT mencarelliangelo dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation AT kootstragert dataunderlyingthepublicationanintegratedendtoenddeepneuralnetworkforautomateddetectionofdiscardedfishspeciesandtheirweightestimation
_version_	1822264087613014016

Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.

Similar Items

Resource Map