Extension of "The Growing Strawberries Dataset"

doi:10.4121/73424098-2e29-4cc0-9fb2-86e379c8ced0.v1
The doi 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
Delft University of Technology logo
geolocation
Kronenberg (2023) and Bleiswijk (2024), The Netherlands
time coverage
2023.05.31-2023.10.18, 2024.02.06-2024.06.27

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
.jpg
funding
  • Topsector Tuinbouw & Uitgangsmaterialen
  • Innovatiefonds Hagelunie
  • Interpolis
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Algorithmics group

DATA

files (3)