| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 91123930 |
| num_examples: 3348 |
| download_size: 86330172 |
| dataset_size: 91123930 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Greenhouse Leafy Segmentation |
|
|
| A dataset for semantic segmentation of plants growing in a greenhouse hydroponic environment. The dataset contains 3,348 images with pixel-level mask annotations. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{cardenasgallegos2025reliable, |
| title={Reliable plant segmentation under variable greenhouse illumination conditions}, |
| author={Cardenas-Gallegos, Jonathan S. and Severns, Paul M. and Klimeš, Pavel and N. Lacerda, Lorena and Peduzzi, Alicia and Soranz Ferrarezi, Rhuanito}, |
| journal={Computers and Electronics in Agriculture}, |
| volume={229}, |
| pages={109711}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
| Jonathan Cárdenas. (2024). JSCG95/leafy-segmentation_CEA: Data availability release (Version V1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.11110409 |
| |
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
