Amodal_Fruit_Sizing

Gené Mola, Jordi; Ferrer Ferrer, Mar; Blok, Pieter; Hemming, Jochen; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Vilaplana Besler, Verónica; Ruiz Hidalgo, Javier; Gregorio López, Eduard

Amodal_Fruit_Sizing

We provide a deep-learning method to better estimate the size of partially occluded apples. The method is based on ORCNN (https://github.com/waiyulam/ORCNN) and sizecnn (https://git.wur.nl/blok012/sizecnn), which extended Mask R-CNN network to simultaneously perform modal and amodal instance segment...

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Detalles Bibliográficos
Autores:	Gené Mola, Jordi, Ferrer Ferrer, Mar, Blok, Pieter, Hemming, Jochen, Rosell Polo, Joan Ramon, Morros Rubió, Josep Ramon, Vilaplana Besler, Verónica, Ruiz Hidalgo, Javier, Gregorio López, Eduard
Tipo de recurso:	conjunto de datos
Fecha de publicación:	2025
País:	España
Institución:	Universitat de Lleida (UdL)
Repositorio:	Repositori Obert UdL
OAI Identifier:	oai:repositori.udl.cat:10459.1/468102
Acceso en línea:	https://doi.org/10.34810/data2315 https://hdl.handle.net/10459.1/468102
Access Level:	acceso abierto
Palabra clave:	Agricultural Sciences Engineering Precision agriculture Fruit size Horticulture Remote sensing

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oai_identifier_str	oai:repositori.udl.cat:10459.1/468102
network_acronym_str	ES
network_name_str	España
repository_id_str
spelling	Amodal_Fruit_SizingGené Mola, JordiFerrer Ferrer, MarBlok, PieterHemming, JochenRosell Polo, Joan RamonMorros Rubió, Josep RamonVilaplana Besler, VerónicaRuiz Hidalgo, JavierGregorio López, EduardAgricultural SciencesEngineeringPrecision agricultureFruit sizeHorticultureRemote sensingWe provide a deep-learning method to better estimate the size of partially occluded apples. The method is based on ORCNN (https://github.com/waiyulam/ORCNN) and sizecnn (https://git.wur.nl/blok012/sizecnn), which extended Mask R-CNN network to simultaneously perform modal and amodal instance segmentation. The amodal mask is used to estimate the fruit diameter in pixels, while the modal mask is used to measure in the depth map the distance between the detected fruit and the camera and calculate the fruit diameter in mm by applying the pinhole camera model.CORA.Repositori de Dades de RecercaGené-Mola, Jordi2025info:eu-repo/semantics/datasethttps://doi.org/10.34810/data2315https://hdl.handle.net/10459.1/468102reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/semantics/openAccessApache-2.0oai:repositori.udl.cat:10459.1/4681022026-06-24T12:42:17Z
dc.title.none.fl_str_mv	Amodal_Fruit_Sizing
title	Amodal_Fruit_Sizing
spellingShingle	Amodal_Fruit_Sizing Gené Mola, Jordi Agricultural Sciences Engineering Precision agriculture Fruit size Horticulture Remote sensing
title_short	Amodal_Fruit_Sizing
title_full	Amodal_Fruit_Sizing
title_fullStr	Amodal_Fruit_Sizing
title_full_unstemmed	Amodal_Fruit_Sizing
title_sort	Amodal_Fruit_Sizing
dc.creator.none.fl_str_mv	Gené Mola, Jordi Ferrer Ferrer, Mar Blok, Pieter Hemming, Jochen Rosell Polo, Joan Ramon Morros Rubió, Josep Ramon Vilaplana Besler, Verónica Ruiz Hidalgo, Javier Gregorio López, Eduard
author	Gené Mola, Jordi
author_facet	Gené Mola, Jordi Ferrer Ferrer, Mar Blok, Pieter Hemming, Jochen Rosell Polo, Joan Ramon Morros Rubió, Josep Ramon Vilaplana Besler, Verónica Ruiz Hidalgo, Javier Gregorio López, Eduard
author_role	author
author2	Ferrer Ferrer, Mar Blok, Pieter Hemming, Jochen Rosell Polo, Joan Ramon Morros Rubió, Josep Ramon Vilaplana Besler, Verónica Ruiz Hidalgo, Javier Gregorio López, Eduard
author2_role	author author author author author author author author
dc.contributor.none.fl_str_mv	Gené-Mola, Jordi
dc.subject.none.fl_str_mv	Agricultural Sciences Engineering Precision agriculture Fruit size Horticulture Remote sensing
topic	Agricultural Sciences Engineering Precision agriculture Fruit size Horticulture Remote sensing
description	We provide a deep-learning method to better estimate the size of partially occluded apples. The method is based on ORCNN (https://github.com/waiyulam/ORCNN) and sizecnn (https://git.wur.nl/blok012/sizecnn), which extended Mask R-CNN network to simultaneously perform modal and amodal instance segmentation. The amodal mask is used to estimate the fruit diameter in pixels, while the modal mask is used to measure in the depth map the distance between the detected fruit and the camera and calculate the fruit diameter in mm by applying the pinhole camera model.
publishDate	2025
dc.date.none.fl_str_mv	2025
dc.type.none.fl_str_mv	info:eu-repo/semantics/dataset
format	dataset
dc.identifier.none.fl_str_mv	https://doi.org/10.34810/data2315 https://hdl.handle.net/10459.1/468102
url	https://doi.org/10.34810/data2315 https://hdl.handle.net/10459.1/468102
dc.language.none.fl_str_mv	Inglés
language_invalid_str_mv	Inglés
dc.rights.none.fl_str_mv	info:eu-repo/semantics/openAccess Apache-2.0
eu_rights_str_mv	openAccess
rights_invalid_str_mv	Apache-2.0
dc.publisher.none.fl_str_mv	CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv	CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv	reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)
instname_str	Universitat de Lleida (UdL)
reponame_str	Repositori Obert UdL
collection	Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_	1869422447712796672
score	15.811543

Amodal_Fruit_Sizing

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