Datasets:
File size: 1,386 Bytes
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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.* |