%0 Generic
%A Wen, Junhan
%A Verschoor, Camiel
%A Abeel, Thomas
%A de Weerdt, M.M. (Mathijs)
%D 2023
%T The Growing Strawberries Dataset
%U 
%R 10.4121/e3b31ece-cc88-4638-be10-8ccdd4c5f2f7.v1
%K Multiple Object Tracking
%K Long-term MOT
%K Biological Development
%K Growth Monitoring
%K MOT Dataset
%K Computer Vision
%K Horticulture Research
%X <p>The Growing Strawberries Dataset (GSD) is a curated multiple-object tracking dataset inspired by the growth monitoring of strawberries. The frames were taken at hourly intervals by six cameras for in total of 16 months in 2021 and 2022, covering 12 plants in two greenhouses respectively. The dataset consists of hourly images collected during the cultivation period, bounding box (bbox) annotations of strawberry fruits, and precise identification and tracking of strawberries over time. GSD contains two types of images - RGB (color) and OCN (orange, cyan, near-infrared). These images were captured throughout the cultivation period. Each image sequence represents all the images captured by one camera during the year of cultivation. These sequences are named using the format "&lt;RGB/OCN-1/2/3-2021/2022&gt;." In addition, a small sample captured by one of the RGB cameras is included, featuring images and annotations from a two-day period, along with a demo video spanning seven days. The ground-truth annotations of the bbox and trajectories of strawberries are provided with a coco-format JSON file and a TXT file for compatibility with the MOT Challenge evaluation tools. Images that were too dark for annotations are also available upon request.</p>
%I 4TU.ResearchData