GVLiD: GrapeVine Leaf identification of the Diseases

Published: 6 April 2026| Version 5 | DOI: 10.17632/wkymf8bhcg.5
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Description

Grapes are one of the most important crops in global agriculture, primarily used for wine, fresh fruit, and raisins. Nevertheless, grapevines are prone to various diseases that can significantly impact their yield and quality. Early detection and treatment of these diseases is essential. We introduce the "GVLiD: GrapeVine Leaf identification of the Diseases", which has 4 classes of 3,477 high-resolution images of grape leaves. The dataset covers the following common grapevine diseases: 1) Healthy, 2) Black rot, 3) Esca, and 4) Leaf blight. The dimensions of the images are 1080 × 1080. Images are in JPG format. Images having 120 DPI collected through a field visit and captured from different angles. Unlike existing datasets, GVLiD incorporates high-resolution field-acquired images with structured metadata, enabling real-world disease detection

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Steps to reproduce

Follow the steps provided in readme.md

Institutions

  • Annasaheb Dange College of Engineering and Technology
    Maharashtra, Sangli

Categories

Machine Learning, Plant Diseases, Leaf Studies, Deep Learning, Agriculture

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