A dataset for semantic segmentation of damage during harvesting of soybeans. The dataset contains 800 images with pixel-level mask annotations.
This dataset is indexed on
https://project-agml.github.io/ as part of the AgML python library.
@article{chen2024dataset,
title={A dataset of the quality of soybean harvested by mechanization for deep-learning-based monitoring and analysis},
author={Chen, Man and Jin… See the full description on the dataset page:
https://huggingface.co/datasets/Project-AgML/soybean_harvest_damage_segmentation.
