Potato Disease Classification Dataset

Citation Author(s):
Mir Maruf
Ahmed
Department of Computer Science, American International University-Bangladesh
Rakin Sad
Aftab
Department of Computer Science, American International University-Bangladesh
Sultanul Arifeen
Hamim
Department of Computer Science, American International University-Bangladesh
Muhammad Firoz
Mridha
Department of Computer Science, American International University-Bangladesh
Submitted by:
Mir Maruf Ahmed
Last updated:
Fri, 12/27/2024 - 05:09
DOI:
10.21227/n3ce-a694
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Abstract 

The potato plant disease detection dataset comprises 5,748 images of potato leaves categorized into six classes: Early Blight (1,000), Fungi (748), Healthy (1,000), Late Blight (1,000), Pest (1,000), and Virus (1,000). The dataset was collected from various open-access sources and integrated class-wise for comprehensive analysis. This dataset provides a robust foundation for training and evaluating convolutional neural networks in plant disease detection.

Comments

hello

Submitted by hafid hafoud on Wed, 01/01/2025 - 06:02

Dear Reader

I hope you're doing good.

My name is Lynda, and am working on VLM model for potato paln diseases.

I was wondering if i can use your data set for my project?

Best regards

Lynda

Submitted by Lynda REDJECHTA on Tue, 01/14/2025 - 03:10

Dear Authors, what is the benchmark performance on your dataset? Since it is new and posted on 26 Dec 2024.

Submitted by Mohan Karnati on Tue, 01/28/2025 - 02:40

Documentation

AttachmentSize
File Document of the dataset.pdf134.57 KB