Car Damage Detection Computer Vision Project

gj pw

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* Auto-orientation of pixel data (with EXIF-orientation stripping)
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Car-parts are annotated in YOLOv8 Oriented Object Detection format.
CarPartBB - v1 2023-10-19 1:12pm
For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
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The dataset includes 3291 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on February 12, 2024 at 11:07 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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CC BY 4.0

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

                        @misc{
                            car-damage-detection-nvhne_dataset,
                            title = { Car Damage Detection Dataset },
                            type = { Open Source Dataset },
                            author = { gj pw },
                            howpublished = { \url{ https://universe.roboflow.com/gj-pw-6vszg/car-damage-detection-nvhne } },
                            url = { https://universe.roboflow.com/gj-pw-6vszg/car-damage-detection-nvhne },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-09-21 },
                            }
                        
                    

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