| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': '0' |
| - name: split |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1162832609 |
| num_examples: 1880 |
| download_size: 1115800954 |
| dataset_size: 1162832609 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| size_categories: |
| - 1K<n<10K |
| --- |
| # 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.* |
