A deep learning-based project that aims to localize 14 exterior car body parts in case of no or partial damage. The project was implemented using both Yolov5 and Yolov8.
This project is an implementation of a segmentation pipeline using the UNet++ model to segment various exterior parts of cars ... The segmentation focuses on segmenting up to 50 car body parts from ...
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