Datasets:
File size: 1,307 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 25331768
num_examples: 665
download_size: 25359634
dataset_size: 25331768
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-segmentation
size_categories:
- n<1K
---
# Lelephid Classification
This dataset provides real RGB images of aphid-infested lemon leaves captured in field conditions in Junín, Ecuador. Collected using a handheld smartphone camera during the December to May period, it offers a practical resource for developing semantic segmentation models focused on agricultural disease detection. The dataset contains 665 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
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```
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The dataset itself can be cited as:
Parraga-Alava, J. (2021). *LeLePhid: An Images Dataset for Aphids Detection and Infestation Severity on Lemons Leaf* [Dataset]. Mendeley Data. https://doi.org/10.17632/TNDHS2ZNG4.1
*This dataset was reformatted from its original format to match HuggingFace standards.*
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