Body parts Computer Vision Project

Drop an image or


923 images
Explore Dataset

Here are a few use cases for this project:

  1. Automotive Repair and Maintenance Assistance: Mechanics can use the "Body parts" model to identify car components requiring repair or maintenance. They can quickly diagnose issues in customers' vehicles by taking pictures and letting the model efficiently analyze the car parts.

  2. Automated Vehicle Damage Assessment: Insurance companies can leverage the "Body parts" model to automatically assess the extent of damage to a vehicle involved in an accident. By uploading images of the car, the model can quickly identify the affected parts, streamlining the claims process.

  3. Online Car Spare Parts Catalogue: E-commerce platforms selling car spare parts can use the "Body parts" model to automatically categorize and tag images of the spare parts, making it easier for customers to search for and find the specific parts they need.

  4. Car Customization and Body Shop Services: Professionals and enthusiasts involved in car customization can use the "Body parts" model to identify specific car parts in existing designs, as well as visualize and explore new customization ideas. By providing input images, they can quickly understand the compatibility of various parts with different car models.

  5. Assisting in Traffic Management and Law Enforcement: The "Body parts" computer vision model can be deployed at traffic checkpoints or used by law enforcement to automatically identify vehicles with damaged, illegible, or missing parts, such as license plates or functional lights. This can help enforce traffic regulations and promote road safety.

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.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ body-parts-iwnui_dataset,
    title = { Body parts Dataset },
    type = { Open Source Dataset },
    author = { AZELIT },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-10-03 },



Last Updated

10 months ago

Project Type

Instance Segmentation




back door, bumper, caar, car, decklid, door knob, fog light, front door, front window, front windshield, grill, head light, hood, mirror, number plate, rear bumper, rear light, rear window, rear windshield, tyre

Views: 447

Views in previous 30 days: 96

Downloads: 13

Downloads in previous 30 days: 2


CC BY 4.0