Amodal_Fruit_Sizing

Dataset

DOI

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.

This software is stored and maintained in the following github repository: https://github.com/GRAP-UdL-AT/Amodal_Fruit_Sizing

Identifier
DOI	https://doi.org/10.34810/data2315
Related Identifier	IsSupplementedBy https://doi.org/10.1016/j.compag.2023.107854
Related Identifier	IsSupplementedBy https://doi.org/10.1016/j.dib.2023.110000
Metadata Access	https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2315

Provenance
Creator	Gené Mola, Jordi ; Ferrer Ferrer, Mar; Blok, Pieter ; Hemming, Jochen ; Rosell Polo, Joan Ramon ; Morros Rubió, Josep Ramon (ORCID: 0000-0002-1395-487X); Vilaplana Besler, Verónica ; Ruiz Hidalgo, Javier (ORCID: 0000-0001-6774-685X); Gregorio López, Eduard
Publisher	CORA.Repositori de Dades de Recerca
Contributor	Gené Mola, Jordi; Universitat de Lleida; Centre de Recerca en Agrotecnologia
Publication Year	2025
Rights	Apache-2.0; info:eu-repo/semantics/openAccess; http://www.apache.org/licenses/LICENSE-2.0
OpenAccess	true
Contact	Gené Mola, Jordi (Universitat de Lleida)

Representation
Resource Type	Program source code; Dataset
Format	image/png; application/octet-stream; text/x-python; text/markdown; text/x-c; application/cu-seeme; application/x-sh; text/plain; application/x-ipynb+json; image/jpeg; application/x-docker-file; text/plain; charset=US-ASCII; text/x-makefile; text/xml
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Version	1.0
Discipline	Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences