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Potato Disease Classification Dataset
- Citation Author(s):
- Submitted by:
- Mir Maruf Ahmed
- Last updated:
- Fri, 12/27/2024 - 05:09
- DOI:
- 10.21227/n3ce-a694
- Data Format:
- License:
- Categories:
- Keywords:
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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.
Documentation
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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
Lynda
Dear Authors, what is the benchmark performance on your dataset? Since it is new and posted on 26 Dec 2024.