--- 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. - GitHub Repo Link: [Click here](https://github.com/EPDCL/Electrical-Lines-Defect-Detection) --- ## 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 - **This ongoing project is supervised and mentored by [Sasank Chilamkurthy](https://chsasank.com/about/), whose expertise has guided its development.** --- ## πŸ“‚ Repository Structure ```bash Electrical-Lines-Defect-Detection/ β”œβ”€β”€ Poles_LeanedStraight/ β”‚ β”œβ”€β”€ ObjectDetection/ ← YOLOv12 bbox dataset + code β”‚ └── 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/EPDCL/Electrical-Lines-Defect-Detection/tree/main/Poles_LeanedStraight/ObjectDetection) | | **Classification** | Folder+CSV | train/val/test | [Direct link to Dataset](https://huggingface.co/datasets/EPDCL/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 ## Sample Visualizations - Classification model

- Object Detection model

## πŸ“„ License - [Dataset](https://huggingface.co/datasets/EPDCL/Electrical-Lines-Defect-Detection): CC BY 4.0 - [Code](https://github.com/EPDCL/Electrical-Lines-Defect-Detection): MIT License