PFuji-Size dataset: photogrammetry-derived 3D point clouds of Fuji apples trees with annotations to evaluate fruit detection and size estimation methodologies

DOI

The PFuji-Size dataset [2] includes the 3D point clouds of 6 Fuji apple trees containing a total of 615 apples and an additional 25 apples scanned in laboratory conditions. Structure-from-motion and multi-view stereo techniques were used to generate the 3D point clouds of the captured scene. Apple locations and ground truth diameter annotations are provided for assessing fruit detection and size estimation algorithms.

Cloud Compare [GPL software], v2.9 Omnia

Identifier
DOI https://doi.org/10.34810/data141
Related Identifier IsCitedBy https://doi.org/10.1016/j.compag.2021.106343
Related Identifier IsCitedBy https://doi.org/10.1016/j.dib.2021.107629
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data141
Provenance
Creator Gené Mola, Jordi ORCID logo; Sanz Cortiella, Ricardo ORCID logo; Rosell Polo, Joan Ramon ORCID logo; Escolà i Agustí, Alexandre ORCID logo; Gregorio López, Eduard ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Gené Mola, Jordi
Publication Year 2021
Funding Reference Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya 2017 SGR 646 ; Spanish Ministry of Economy and Competitiveness AGL2013-48297-C2-2-R ; Spanish Ministry of Science, Innovation and Universities RTI2018-094222-B-I00 ; Spanish Ministry of Education FPU15/03355
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Gené Mola, Jordi (Research Group in AgroICT & Precision Agriculture, Universitat de Lleida. Agrotecnio-Cerca Center)
Representation
Resource Type Other; Dataset
Format application/zip; text/plain
Size 9189400218; 9749381935; 8278933720; 399393368; 229009819; 45574; 8440
Version 1.3
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences