Plant Disease Classification Dataset for Gourd Varieties: Ridge Gourd and Sponge Gourd

Published: 12 December 2025| Version 1 | DOI: 10.17632/gknk5wpmbw.1
Contributors:
Shahria Rahman, Sadid Al Deen, Chayti Saha

Description

This dataset is an image-based resource designed for Deep Learning classification of diseases in two common gourd varieties: Ridge Gourd and Sponge Gourd.The dataset contains a total of 1,900 original JPEG images, categorized into six distinct classes (Anthracnose, CMV, and Healthy for each gourd type).The uploaded file is structured into two main parts: Raw Dataset: Contains the original, full-resolution images. Preprocessed Data: Contains the same images, which have been resized (e.g., 224 X 224pixels) and split into train, test, and val folders, ready for immediate use in machine learning models. Purpose: To develop and benchmark automated AI models for rapid plant disease diagnosis

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Institutions

  • Daffodil International University

Categories

Computer Vision, Image Processing, Machine Learning, Plant Pathology

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