Project-AgML/LeLePhid_classification

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

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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.