{"data":{"id":"10.4121/13603787","type":"dois","attributes":{"doi":"10.4121/13603787","prefix":"10.4121","suffix":"13603787","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Blok, P.M. (Pieter)","nameType":"Personal","givenName":"P.M. (Pieter)","familyName":"Blok","nameIdentifiers":[{"nameIdentifier":"0000-0001-9535-5354","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"van Henten, Eldert","nameType":"Personal","givenName":"Eldert","familyName":"van Henten","nameIdentifiers":[{"nameIdentifier":"0000-0002-1623-9855","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"van Evert, Frits","nameType":"Personal","givenName":"Frits","familyName":"van Evert","nameIdentifiers":[{"nameIdentifier":"0000-0003-0302-668X","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Kootstra, Gert","nameType":"Personal","givenName":"Gert","familyName":"Kootstra","nameIdentifiers":[{"nameIdentifier":"0000-0002-2579-4324","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data underlying the publication: Image-based size estimation of broccoli heads under varying degrees of occlusion"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2022,"subjects":[{"subject":"Agriculture, Land and Farm Management","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0701"},{"subject":"Artificial Intelligence and Image Processing","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0801"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"occlusion rate"},{"subject":"RGB-D"},{"subject":"image data"},{"subject":"broccoli"},{"subject":"size estimation"},{"subject":"Agriculture"},{"subject":"deep learning dataset"},{"subject":"Intel Realsense"},{"subject":"annotations"},{"subject":"instance segmentation"},{"subject":"Open source software packages"},{"subject":"diameter growth"},{"subject":"computer vision algorithms"},{"subject":"Machine Learning Methods Enable Predictive Modelling"},{"subject":"Time: 13-07-2020 and 19-08-2020"}],"contributors":[{"name":"Wageningen Plant Research, Wageningen University And Research","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2022-04-29","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1016/j.biosystemseng.2021.06.001","relatedIdentifierType":"DOI"},{"relationType":"References","relatedIdentifier":"https://git.wur.nl/blok012/sizecnn","relatedIdentifierType":"URL"}],"relatedItems":[],"sizes":[],"formats":["images/png annotations/json camera_intrinsics/json ground_truth/csv readme/pdf"],"version":"3","rightsList":[{"rights":"Creative Commons Attribution Non Commercial Share Alike 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-sa-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This publicly available dataset contains 1613 RGB-D images of field-grown broccoli plants. The dataset also includes the polygon and circle annotations of the broccoli heads. \u003cbr\u003e \u003cbr\u003e The broccoli heads in the images were subject to various degrees of natural and man-made leaf occlusion. The images were acquired in July and August 2020 on a broccoli field in Sexbierum (The Netherlands). The broccoli cultivar was Ironman. \u003cbr\u003e \u003cbr\u003e The dataset belongs to the paper “Image-based size estimation of broccoli heads under varying degrees of occlusion”. This paper has been published at Biosystems Engineering journal: https://doi.org/10.1016/j.biosystemseng.2021.06.001\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Sexbierum, The 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