---
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
```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}
}