Dataset on Bangladeshi Healthy and Unhealthy Vegetables

Published: 25 July 2025| Version 1 | DOI: 10.17632/3wby28tkcp.1
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Description

This dataset comprises 1,257 high-quality images of four types of vegetables: Malabar Spinach, Brinjal (Eggplant), Cauliflower, and Bean. Each vegetable class is further divided into two categories based on condition: Healthy and Unhealthy. Structure: Vegetables Dataset/ ├── Malabar/ │ ├── Healthy/ │ └── Unhealthy/ ├── Brinjal/ │ ├── Healthy/ │ └── Unhealthy/ ├── Cauliflower/ │ ├── Healthy/ │ └── Unhealthy/ └── Bean/ ├── Healthy/ └── Unhealthy/ Data Collection Details: Devices Used: iPhone 11 and Samsung Galaxy S21 FE Collection Locations: Ashulia, Karwan Bazar, Kathalbagan Bazar, Dhaka,Bangladesh. The dataset was created to support image classification tasks for detecting the health status of vegetables, which can aid in agricultural quality control or automated market inspection systems.

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Institutions

Daffodil International University

Categories

Machine Learning, Image Database, Waste

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