CarDD is a novel, public, large-scale dataset specifically designed for vision-based car damage detection and segmentation.
The dataset contains 4,000 high-resolution car damage images with over 9,000 well-annotated instances, making it the largest public dataset of its kind.
The high resolution of the images (average 684,231 pixels) is a key advantage over existing datasets that have a much lower average resolution (50,334 pixels). Higher resolution allows for… See the full description on the dataset page:
https://huggingface.co/datasets/harpreetsahota/CarDD.
