Rob2Pheno Annotated Tomato Image Dataset

DOI:10.4121/13173422.v3
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/13173422

Datacite citation style

Afonso, Manya; Fonteijn, Hubert; Polder, G. (Gerrit); Wehrens, Ron; Lensink, Dick et. al. (2021): Rob2Pheno Annotated Tomato Image Dataset. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/13173422.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 3 - 2021-03-01 (latest)
Version 2 - 2021-02-26 Version 1 - 2021-02-25
Wageningen University and Research logo

Usage statistics

7675
views
4250
downloads

Categories

Licence

CC BY 4.0

Interoperability

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.

History

  • 2021-02-25 first online
  • 2021-03-01 published, posted

Publisher

4TU.ResearchData

Funding

  • Foundation TKI Horticulture & Propagation Materials

Organizations

Mathematical & Statistical Methods, Wageningen University & Research
ENZA Zaden

DATA

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