Datasets
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Potato Disease Classification Dataset
- Citation Author(s):
-
Mir MarufAhmed
Department of Computer Science, American International University-BangladeshRakin SadAftabDepartment of Computer Science, American International University-BangladeshSultanul ArifeenHamimDepartment of Computer Science, American International University-BangladeshMuhammad FirozMridhaDepartment 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
- Data Format:
- License:
271 Views- Categories:
- Keywords:
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.
The dataset comprises labeled images organized into six categories, each representing different plant conditions or health states. These categories include Early Blight (1,000 images), Late Blight (1,000 images), Fungi (748 images), Pest (1,000 images), Virus (1,000 images), and Healthy Plants (1,000 images). A representative sample image is provided for each category. This dataset is structured to facilitate research and development in plant health diagnostics, particularly in applications involving machine learning and computer vision.
Documentation
| Attachment | Size |
|---|---|
 Document of the dataset.pdf | 134.57 KB |
Comments
hello
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
Djaafer