Rob2Pheno Annotated Tomato Image Dataset

Datacite citation style:
WUR Data Librarian; Fonteijn, Hubert; Polder, G. (Gerrit); Wehrens, Ron; Lensink, Dick et. al. (2021): Rob2Pheno Annotated Tomato Image Dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13173422.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version: version 3 - 2021-03-01 (latest) version 2 - 2021-02-26
version 1 - 2021-02-25
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, published, posted

Publisher

4TU.ResearchData

Funding

  • Foundation TKI Horticulture & Propagation Materials

Organizations

Wageningen University and Research;
Enza Zaden

DATA

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