Bangladeshi Vehicle Damage Detection Computer Vision Project
Azmain Mahtab and Jannatim Maisha
Updated a year ago
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Description
Bangladeshi Vehicle Damage Detection using YOLOv5
Project Overview
Classes
- Dent (Slight Deformity)
- Deformed (Heavy Deformity)
Status
- Model trained using a small dataset of Bangladeshi damaged cars.
Future Addition
- Add undamaged car images.
- Tweak annotations.
- More generalized vehicles.
Image Source
- Web Scraped.
Contribution
- Md. Azmain Mahtab - 53 annotations
- Jannatim Maisha - 52 annotations
Labeling Guidelines
- As mentioned in the classes section.
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bangladeshi-vehicle-damage-detection_dataset,
title = { Bangladeshi Vehicle Damage Detection Dataset },
type = { Open Source Dataset },
author = { Azmain Mahtab and Jannatim Maisha },
howpublished = { \url{ https://universe.roboflow.com/azmain-mahtab-and-jannatim-maisha/bangladeshi-vehicle-damage-detection } },
url = { https://universe.roboflow.com/azmain-mahtab-and-jannatim-maisha/bangladeshi-vehicle-damage-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-12-19 },
}