cff-version: 1.2.0
abstract: "Dataset of RGBD images of tomato plants in a production greenhouse (Enza Zaden BV) obtained using Realsense cameras, and object instance level ground truth annotations of the fruit for using object detectors such as MaskRCNN or YOLACT. These data were used to obtain the results reported in our paper Tomato Fruit Detection and Counting in Greenhouses using Deep Learning, Frontiers in Plant Science, 2020.<br>"
authors:
  - family-names: Afonso
    given-names: Manya
    orcid: "https://orcid.org/0000-0003-0389-0515"
  - family-names: Fonteijn
    given-names: Hubert
  - family-names: Polder
    given-names: G. (Gerrit)
    orcid: "https://orcid.org/0000-0003-4896-4776"
  - family-names: Wehrens
    given-names: Ron
  - family-names: Lensink
    given-names: Dick
  - family-names: Faber
    given-names: Nanne
  - family-names: Mooij
    given-names: Marcel
title: "Rob2Pheno Annotated Tomato Image Dataset"
keywords:
version: 3
identifiers:
  - type: doi
    value: 10.4121/13173422.v3
license: CC BY 4.0
date-released: 2021-03-01