Car parts Detection Computer Vision Project

BE project Damage detection

Updated 2 years ago

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Classes (7)
Bonet
Bumper
Door
Headlight
Mirror
Tailight
Windshield

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Description

Here are a few use cases for this project:

  1. Auto Repair Shops: The model can help in auto repair shops to easily identify the parts that need to be repaired or replaced. This could improve the effectiveness and speed of diagnosing car problems.

  2. Used Car Marketplaces: For online used car platforms, this model can be used to ensure car listings are accurate by identifying car parts and validating that they match with the seller's descriptions.

  3. Insurance Investigations: Insurance companies can leverage the model in verifying claims. By identifying and assessing damages to specific car parts, investigators could automate and speed up their damage assessment process.

  4. Car Manufacturing Quality Control: Car manufacturers can use this model in their assembly lines to ensure that all car parts have been correctly fitted and are where they're supposed to be, improving the quality control process.

  5. Automobile Education and Training: The model could be used in educational settings to help students learning about cars, aiding in teaching by visually identifying and pointing out different car parts.

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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{
                            car-parts-detection-gbxs9_dataset,
                            title = { Car parts Detection Dataset },
                            type = { Open Source Dataset },
                            author = { BE project Damage detection },
                            howpublished = { \url{ https://universe.roboflow.com/be-project-damage-detection/car-parts-detection-gbxs9 } },
                            url = { https://universe.roboflow.com/be-project-damage-detection/car-parts-detection-gbxs9 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-17 },
                            }
                        
                    

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