metadata
license: mit
tags:
- computer-vision
- object-detection
- e-waste
- yolo
- industrial
- annotated-images
- deep-learning
dataset_name: ewaste-yolo-classification
E-Waste YOLO Classification Dataset
Dataset Summary
This dataset contains annotated images of electronic waste (e-waste) items for object detection tasks. It was curated to support training and evaluation of YOLO-based deep learning models for automated e-waste identification and classification.
☁️ Dataset Overview
| Feature | Details |
|---|---|
| Task | Object Detection |
| Modalities | Images, Annotations |
| Annotation Format | YOLO / COCO compatible |
| License | MIT |
| Categories | Batteries, Circuit Boards, LCDs, Resistors, Capacitors, Regulators, IoT Sensors, etc. |
📄 Paper Reference
If you use this dataset, please cite:
Rajeev, P. A., Dharewa, V., Lakshmi, D., Vishnuvarthanan, G., Giri, J., Sathish, T., & Alrashoud, M. (2025). Advancing e-waste classification with customizable YOLO based deep learning models. Scientific Reports, 15, 18151. https://doi.org/10.1038/s41598-025-94772-x
📚 BibTeX
@article{rajeev2025advancing,
title={Advancing e-waste classification with customizable YOLO based deep learning models},
author={Rajeev, P. Akhil and Dharewa, Vivek and Lakshmi, D. and Vishnuvarthanan, G. and Giri, J. and Sathish, T. and Alrashoud, M.},
journal={Scientific Reports},
volume={15},
pages={18151},
year={2025},
doi={10.1038/s41598-025-94772-x}
}