EPDCL/pd-defect

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.
• GitHub Repo Link: Click here

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Overview

• Captured by: APEPDCL linemen with mobile cameras
• Curated by: Sampath Balaji & team, at APEPDCL
• License: CC BY 4.0
• This ongoing project is supervised and mentored by Sasank Chilamkurthy, whose expertise has guided its development.

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📂 Repository Structure

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
Classification	Folder+CSV	train/val/test	Direct link to Dataset

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

Sample Visualizations

• Classification model

  

• Object Detection model

  

📄 License

• Dataset: CC BY 4.0
• Code: MIT License