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README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+
+# Dataset Card for Electrical-Lines-Defect-Detection
+
+- This repository contains datasets curated for APEPDCL's Line Quality Monitoring System, and will followed with further updates to datasets.
+- These are released to foster open-source collaboration, reproducibility, and hands-on learning in AI.
+
+---
+
+## Overview
+ 
+- **Captured by:** APEPDCL linemen with mobile cameras  
+- **Curated by:** [Sampath Balaji](https://github.com/sampath-balaji/) & team, at [APEPDCL](https://www.apeasternpower.com/)
+- **License:** CC BY 4.0
+
+---
+
+## 📂 Repository Structure
+
+```bash
+Electrical-Lines-Defect-Detection/
+├── Poles_LeanedStraight/
+│   ├── ObjectDetection/    ← YOLOv12 bbox dataset + code    
+│   └── Classification/     ← Folder + CSV classification dataset + code
+└── README.md               ← (this file)
+```
+
+## Datasets
+| Module               | Type           | Split            | HF Link                                                                                                                                                                                                                                                   |
+| -------------------- | -------------- | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Object Detection** | YOLOv12-format | train/valid/test | [Direct link to Dataset](https://huggingface.co/datasets/sampath-balaji/Electrical-Lines-Defect-Detection/tree/main/Poles_LeanedStraight/ObjectDetection) |
+| **Classification**   | Folder+CSV     | train/val/test   | [Direct link to Dataset](https://huggingface.co/datasets/sampath-balaji/Electrical-Lines-Defect-Detection/tree/main/Poles_LeanedStraight/Classification)   |
+
+## Usage
+Each sub-folder contains its own ```README.md``` with:
+- Dataset details (structure, labeling process)
+- Training & inference instructions
+- Metrics & sample outputs
+Navigate into the folder you’re interested in, then follow the steps there.
+
+## 🤝 Contributing
+We welcome:
+- Improved annotations or protocols
+- Pull requests to code or documentation
+
+## 📄 License
+
+- [Dataset](https://huggingface.co/datasets/sampath-balaji/Electrical-Lines-Defect-Detection): CC BY 4.0
+- [Code](https://github.com/sampath-balaji/Electrical-Lines-Defect-Detection): MIT License
+
+