Automatic waste management dataset

Published: 28 July 2025| Version 2 | DOI: 10.17632/d4vsy9c9wk.2
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Description

Dataset Description: Automatic Waste Classification This dataset is designed for training and evaluating machine learning models in the task of automatic waste classification. It contains 1973 images categorized into five distinct waste types: Categories: Paper Waste Organic Waste Leather Waste Plastic Waste Glass Waste Each category folder contains relevant images captured under real-world conditions to reflect typical waste appearances. Dataset Structure: Automatic Waste Classification/ ├── Paper Waste/ ├── Organic Waste/ ├── Leather Waste/ ├── Plastic Waste/ └── Glass Waste/ Data Collection Details: Collection Locations: Puran Dhaka,Dhaka,Bangladesh Shewrapara,Dhaka,Bangladesh Kathalbagan Bazaar,Dhaka,Bangladesh Ashulia,Dhaka,Bangladesh The dataset aims to support smart waste management applications, including automated sorting systems, environmental monitoring tools, and AI-driven recycling solutions.

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Institutions

  • Daffodil International University

Categories

Image Processing, Machine Learning, Image Database, Waste, Explainable Artificial Intelligence

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