2024/05/01 Web Site is updated. 2024/04/10 Web Site is updated. 2023/10/17 Web Site is created.
This webpage describes a Cherry dataset designed
To aid in the research and develop cherry-related applications, we present the Cherry CO dataset, a novel detection and segmentation dataset of cherries. This dataset contains 3006 labeled images of cherries, with over 15000 individual cherries annotated. The images were obtained from a cherry plantation during three weeks, showing different degrees of maturity. The annotation criteria included aspects such as maturity and position relative to the camera to categorize other fruits. To the best of our knowledge, this is the first publicly available dataset for cherry detection and segmentation.
Evaluation Software – uses the library pycocotools
This dataset was used in the following works. In case you use this data for your research, please cite them.
L. Cossio-Montefinale, J. Ruiz-del-Solar and R. Verschae, “Cherry CO Dataset: a dataset for cherry detection, segmentation and maturity recognition,” in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3393214.
@article{cossio2024cherry,
author={Cossio-Montefinale, Luis and Ruiz-del-Solar, Javier and Verschae, Rodrigo},
journal={IEEE Robotics and Automation Letters},
title={Cherry CO Dataset: a dataset for cherry detection, segmentation and maturity recognition},
year={2024},
volume={},
number={},
pages={1-7},
keywords={Image segmentation;Cameras;Task analysis;Annotations;Image resolution;Greenhouses;Green products;Data Sets for Robot Learning;Object Detection, Segmentation and Categorization;Agricultural Automation;Deep Learning for Visual Perception},
doi={10.1109/LRA.2024.3393214}
}