| --- |
| dataset_info: |
| features: |
| - name: bands |
| dtype: binary |
| - name: bands_shape |
| list: int64 |
| - name: bands_dtype |
| dtype: string |
| - name: rgb |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: split |
| dtype: string |
| - name: acquisition_date |
| dtype: string |
| - name: time |
| dtype: string |
| - name: latitude |
| dtype: string |
| - name: longitude |
| dtype: string |
| - name: altitude |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 3946641326 |
| num_examples: 734 |
| download_size: 3874929121 |
| dataset_size: 3946641326 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| # Weedy Rice Segmentation |
|
|
| A dataset for semantic segmentation of weedy rice. The dataset contains 734 images with pixel-level mask annotations. |
|
|
| 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{nguyen2025dataset, |
| title={A dataset of aligned RGB and multispectral UAV imagery for semantic segmentation of weedy rice}, |
| author={Nguyen, Van-Hoa and Le, Cong-Doan and Truong, Minh-Tuyen and Bui, Mai-Phung Thi and Le, Thanh-Phong}, |
| journal={Data in Brief}, |
| volume={63}, |
| pages={112237}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Nguyen, Van Hoa; Le, Cong-Doan; Truong, Minh-Tuyen; Bui, Mai-Phung; Le, Thanh-Phong (2025), “A Dataset of Aligned RGB and Multispectral UAV Imagery for Semantic Segmentation of Weedy Rice”, Mendeley Data, V1, doi: 10.17632/vt4s83pxx6.1 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
