Project-AgML/greenhouse_leafy_segmentation

1---2dataset_info:3  features:4  - name: image5    dtype: image6  - name: mask7    dtype: image8  splits:9  - name: train10    num_bytes: 9112393011    num_examples: 334812  download_size: 8633017213  dataset_size: 9112393014configs:15- config_name: default16  data_files:17  - split: train18    path: data/train-*19license: cc-by-4.020task_categories:21- image-segmentation22size_categories:23- 1K<n<10K24---25# Greenhouse Leafy Segmentation26 27A dataset for semantic segmentation of plants growing in a greenhouse hydroponic environment. The dataset contains 3,348 images with pixel-level mask annotations.28 29This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.30 31## Citation32 33```bibtex34@article{cardenasgallegos2025reliable,35  title={Reliable plant segmentation under variable greenhouse illumination conditions},36  author={Cardenas-Gallegos, Jonathan S. and Severns, Paul M. and Klimeš, Pavel and N. Lacerda, Lorena and Peduzzi, Alicia and Soranz Ferrarezi, Rhuanito},37  journal={Computers and Electronics in Agriculture},38  volume={229},39  pages={109711},40  year={2025},41  publisher={Elsevier}42}43```44Jonathan Cárdenas. (2024). JSCG95/leafy-segmentation_CEA: Data availability release (Version V1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.1111040945 46*This dataset was reformatted from its original format to match HuggingFace standards.*