Car_damage Computer Vision Project

* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -15 and +15 degrees * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 5 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 26 27 28 29 30 ============================== Car-damage are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you The dataset includes 24154 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: The following transformations were applied to the bounding boxes of each image: This dataset was exported via roboflow.com on September 28, 2023 at 12:17 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com bamper car-damage - v2 2023-04-15 9:13pm visit https://github.com/roboflow/notebooks