Car Damage Detection Computer Vision Project
gj pw
Updated a year ago
154
3
Classes (21)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
* annotate, and create datasets
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* collect & organize images
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* understand and search unstructured image data
* use active learning to improve your dataset over time
19
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Car-parts are annotated in YOLOv8 Oriented Object Detection format.
CarPartBB - v1 2023-10-19 1:12pm
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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
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LICENSE
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 2025-01-10 },
}