Dataset · Hugging Face

Project-AgML/potato_leaf_disease_classification

Name: potato_leaf_disease_classification
Creator: Project-AgML
License: cc-by-4.0
Keywords: task_categories:image-classification, license:cc-by-4.0, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:image, library:datasets, library:dask, library:polars, library:mlcroissant, region:us

Potato Leaf Disease Classification A dataset for disease classification of potato leaves. The dataset contains 3,076 images across 7 classes: Bacteria, Fungi, Healthy, Nematode, Pest, Phytopthora, Virus.Images per class: Bacteria: 569 Fungi: 748 Healthy: 201 Nematode: 68 Pest: 611 Phytopthora: 347 Virus: 532 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{shabrina2024novel, title={A novel dataset… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/potato_leaf_disease_classification.

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Author / organization	Project-AgML
License (as declared)	cc-by-4.0
Downloads	177 (as reported by Hugging Face)
Likes	0
Created	24 June 2026
Last updated at source	4 July 2026

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