Azmain Mahtab and Jannatim Maisha

Bangladeshi Vehicle Damage Detection

Object Detection

Roboflow Universe Azmain Mahtab and Jannatim Maisha Bangladeshi Vehicle Damage Detection

Bangladeshi Vehicle Damage Detection Computer Vision Project

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Bangladeshi Vehicle Damage Detection using YOLOv5

Project Overview


  • Dent (Slight Deformity)
  • Deformed (Heavy Deformity)


  • 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.


  • Md. Azmain Mahtab - 53 annotations
  • Jannatim Maisha - 52 annotations

Labeling Guidelines

  • As mentioned in the classes section.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.


This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite this Project

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{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-11-29 },

Find utilities and guides to help you start using the Bangladeshi Vehicle Damage Detection project in your project.

Last Updated

12 days ago

Project Type

Object Detection




Deformed, Dent

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CC BY 4.0