Chili Plant Leaf Disease and Growth Stage Dataset from Bangladesh

Published: 19 February 2025| Version 1 | DOI: 10.17632/w9mr3vf56s.1
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Description

This dataset is a comprehensive resource for researchers and professionals in agriculture, machine learning, and computer vision, focusing on chili plant disease detection and growth stage classification. It provides high-resolution images of both healthy and diseased chili leaves, as well as different growth stages, making it highly suitable for deep learning applications. Data Collection The images were manually collected from orchards in Charpolisha, Jamalpur, between October 2024 and February 2025, under the supervision of an agricultural expert. This ensured a wide range of conditions were captured, reflecting real-world variability in chili plant health and development. Using advanced cameras, 3,570 high-resolution images were gathered, covering different disease types and growth stages to support robust AI-driven agricultural research. Dataset Structure The dataset is organized into two main categories: 1. Chili Leaf Disease Dataset This category consists of images showcasing six major leaf diseases affecting chili plants. Each image is meticulously labeled, enabling precise disease classification. Original Dataset: 1,856 high-resolution images (.jpg) Augmented Dataset: 12,000 enhanced images through data augmentation # Disease Classes Covered: - Bacterial Spot - Curl Virus - Cercospora Leaf Spot - Nutrition Deficiency - White Spot - Healthy Leaves 2. Chili Growth Stage Dataset This category focuses on different growth stages of chili plants, capturing key developmental phases. These images aid in crop monitoring and yield estimation. Original Dataset: 1,714 high-resolution images (.jpg) Augmented Dataset: 11,000 enhanced images through data augmentation # Growth Stages Covered: - Flower - Green Chili - Red Chili - Rotten Chili - Dry Chili Significance This dataset is instrumental in advancing AI-driven agricultural research by enabling: ✅ Early and accurate chili disease detection ✅ Automated growth stage monitoring for improved crop management ✅ Precision farming solutions for sustainable agriculture By offering well-structured and annotated images, this dataset provides a solid foundation for developing computer vision-based solutions in chili plant health monitoring and crop protection.

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Institutions

Daffodil International University

Categories

Computer Vision, Machine Learning, Plant Disease Development, Deep Learning, Agriculture

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