akhil2808/YoloDataset

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}
}