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Project-AgML/litchi_fruit_detection

Litchi Fruit Detection A dataset for object detection of litchi fruit. The dataset contains 1,880 images with 39,415 bounding box annotations across 1 category. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. The original train/test/val split has been preserved in the split column. Citation @article{peng2026litchi, title={Litchi-SORT: Overcoming occlusion and motion instability for accurate low-altitude UAV-based… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/litchi_fruit_detection.

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Litchi Fruit Detection

A dataset for object detection of litchi fruit. The dataset contains 1,880 images with 39,415 bounding box annotations across 1 category.

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

The original train/test/val split has been preserved in the split column.

Citation

bibtex

@article{peng2026litchi,
  title={Litchi-SORT: Overcoming occlusion and motion instability for accurate low-altitude UAV-based litchi tracking and counting},
  author={Peng, Hongxing and Chen, Lide and Xie, Haopei and Liu, Huanai and Li, Ximing},
  journal={Smart Agricultural Technology},
  volume={14},
  pages={102159},
  year={2026},
  publisher={Elsevier}
}

Li, W. (2026). Litchi-UAV: A UAV-based Litchi Fruit Detection Dataset for Precision Agriculture [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.19364014

This dataset was reformatted from its original format to match HuggingFace standards.