Extension of "The Growing Strawberries Dataset"

DOI:10.4121/73424098-2e29-4cc0-9fb2-86e379c8ced0.v1
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: 10.4121/73424098-2e29-4cc0-9fb2-86e379c8ced0
Datacite citation style:
Wen, Junhan; Camiel Verschoor; Thomas Abeel; de Weerdt, M.M. (Mathijs) (2025): Extension of "The Growing Strawberries Dataset". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/73424098-2e29-4cc0-9fb2-86e379c8ced0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset is an extension of The Growing Strawberries Dataset (GSD), a curated multiple-object tracking (MOT) dataset originally developed for monitoring strawberry growth. It comprises hourly images captured during the cultivation periods of 2023 and 2024, featuring 10–13 plants in two distinct greenhouses.

The 2023 data includes two types of images—RGB (visual spectrum) and OCN (orange, cyan, near-infrared)—captured by three pairs of cameras, consistent with the setup of the original GSD (doi.org/10.4121/e3b31ece-cc88-4638-be10-8ccdd4c5f2f7). In 2024, the setup was adjusted to four RGB cameras and two overhead cameras, enabling more comprehensive multi-perspective monitoring.

History

  • 2025-01-14 first online, published, posted

Publisher

4TU.ResearchData

Format

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Funding

  • Topsector Tuinbouw & Uitgangsmaterialen
  • Innovatiefonds Hagelunie
  • Interpolis

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Algorithmics group

DATA

Files (3)