<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.60507/FK2/DHTEH1</identifier><creators><creator><creatorName nameType="Personal">Halstead, Michael</creatorName><givenName>Michael</givenName><familyName>Halstead</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-7185-9304</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Guclu, Esra</creatorName><givenName>Esra</givenName><familyName>Guclu</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-1106-5566</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Farag, Mohamed</creatorName><givenName>Mohamed</givenName><familyName>Farag</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-4301-1140</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Pallotta, Enrico</creatorName><givenName>Enrico</givenName><familyName>Pallotta</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0009-0003-9276-0540</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Hund, Christian</creatorName><givenName>Christian</givenName><familyName>Hund</familyName><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Roscher, Ribana</creatorName><givenName>Ribana</givenName><familyName>Roscher</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-0094-6210</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Bennewitz, Maren</creatorName><givenName>Maren</givenName><familyName>Bennewitz</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-4343-3028</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Gall, Juergen</creatorName><givenName>Juergen</givenName><familyName>Gall</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-9447-3399</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">McCool, Chris</creatorName><givenName>Chris</givenName><familyName>McCool</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-0577-1299</nameIdentifier><affiliation>CSIRO</affiliation></creator></creators><titles><title>BUTom21: Still image tomato dataset for detection and segmentation</title></titles><publisher>bonndata</publisher><publicationYear>2026</publicationYear><subjects><subject>Agricultural Sciences</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Güclü, Esra</contributorName><givenName>Esra</givenName><familyName>Güclü</familyName><affiliation>University of Bonn</affiliation></contributor></contributors><dates><date dateType="Submitted">2026-07-14</date><date dateType="Updated">2026-07-17</date><date dateType="Collected">2021-08-18/2021-09-10</date></dates><resourceType resourceTypeGeneral="Dataset">Images; Numerical; Spreadsheet; Structured; Qualitative</resourceType><relatedIdentifiers><relatedIdentifier relationType="IsSupplementTo" relatedIdentifierType="DOI">10.48550/arXiv.2607.14934</relatedIdentifier></relatedIdentifiers><sizes><size>500703195</size><size>5419</size><size>5739</size></sizes><formats><format>application/gzip</format><format>text/markdown</format><format>text/plain</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</rights></rightsList><descriptions><description descriptionType="Abstract">BUTom21 dataset is a fully hand-annotated still image dataset of tomatoes.
It contains 123, 72, 98 images respectively in the training, validation, and evaluation subsets.
The dataset contains RGB and noisy depth images captured across 2 capture days and two different RealSense D435i cameras.
This creates a fully pixel-wise annotated dataset for tomato detection and segmentation in a real-world robotics scenario.</description></descriptions><geoLocations/></resource>