THE STUDENT DATA COMPETITION HAS ENDED.
THANK YOU TO ALL PARTICIPANTS!
This is the first DSPS student competition on the application of AI for pavement condition monitoring. The competition will follow a data-centric model instead of the traditional model-centric approaches. Top-down views of pavement image data containing seven main distress types annotated with bounding boxes and polygons will be provided. Participants will systematically change/enhance datasets provided using various data cleaning, annotation, augmentation strategies to improve the accuracy of a predefined model architecture.
Below you will find full competition information
and team registration form.