Dataset · Hugging Face

Project-AgML/papaya_leaf_disease_classification_bangladesh

Name: papaya_leaf_disease_classification_bangladesh
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

Papaya Leaf Disease Classification Bangladesh A dataset for disease classification of Papaya leaves. The dataset contains raw and augmented versions.The raw dataset contains 1,400 images.Images per class: Healthy Leaf: 182 Leaf Curl: 284 Mealybug: 233 Mite Disease: 243 Mosaic: 214 Ring Spot: 244 The augmented dataset contains 6,618 images.Images per class: Healthy Leaf: 879 Leaf Curl: 1,334 Mealybug: 1,096 Mite Disease: 1,149 Mosaic: 1,009 Ring Spot: 1,151 This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/papaya_leaf_disease_classificat

View on Hugging FaceReport an issue

Author / organization	Project-AgML
License (as declared)	cc-by-4.0
Downloads	197 (as reported by Hugging Face)
Likes	0
Created	30 June 2026
Last updated at source	6 July 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/bc3d944a-755c-40ba-922a-bfcd3f73fc51" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from Project-AgML

Project-AgML/maize_weed_detectionDataset
Project-AgML/date_fruit_maturity_detectionDataset
Project-AgML/iNatAg-miniDataset
Project-AgML/USU-Corn-WeedDB_detectionDataset
Project-AgML/fresh_rotten_fruit_classificationDataset
Project-AgML/FruitVision_quality_classificationDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.