Project-AgML/riseholme_strawberry_classification_2021

Riseholme Strawberry Classification 2021

A dataset for image classification of Riseholme Strawberry Classification 2021. The dataset contains 3,520 images across 4 classes: anomalous, occluded, ripe, unripe.
Images per class:

• anomalous: 153
• occluded: 499
• ripe: 462
• unripe: 2,406

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@inproceedings{CWSC21,
title={Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies},
author={Choi, Taeyeong and Would, Owen and Salazar-Gomez, Adrian and Cielniak, Grzegorz},
booktitle={2022 International Conference on Robotics and Automation (ICRA)},
pages={2266--2272},
year={2022},
organization={IEEE}
}

https://github.com/ctyeong/Riseholme-2021