Dark Images of "The Growing Strawberries Dataset"

doi:10.4121/4250ca74-962a-4da6-a2bd-a763f0cea2a5.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: 10.4121/4250ca74-962a-4da6-a2bd-a763f0cea2a5
Datacite citation style:
Wen, Junhan; Camiel Verschoor; Thomas Abeel; de Weerdt, M.M. (Mathijs) (2025): Dark Images of "The Growing Strawberries Dataset". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4250ca74-962a-4da6-a2bd-a763f0cea2a5.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset contains the darker images extracted from The Growing Strawberries Dataset (GSD) and its extended version. GSD is a multiple-object tracking (MOT) dataset originally created to monitor the growth of strawberries. Across its various versions, GSD provides hourly images captured during cultivation periods spanning from 2021 to 2024. This particular dataset includes images that were excluded from GSD and extended-GSD (doi.org/10.4121/e3b31ece-cc88-4638-be10-8ccdd4c5f2f7), offering a unique subset for specialized analysis. Additionally, a small portion of images from 2021 and 2022, where strawberries are only faintly visible, are supplemented with MOT annotations.

history
  • 2025-01-14 first online, published, posted
publisher
4TU.ResearchData
format
.jpg, .json
funding
  • Topsector Tuinbouw & Uitgangsmaterialen
  • Innovatiefonds Hagelunie
  • Interpolis
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Algorithmics group

DATA

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  • 2,541 bytesMD5:bb5d47f011008966fdbc58614dd1ff10README.md
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  • 17,188,531,302 bytesMD5:2768f8e965d1f24578558381e049d7702024.zip
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