This repository implements Gaussian YOLOv3, a deep neural network for object detection that incorporates localization uncertainty into the detection process. Built on the official YOLOv3 darknet implementation, it modifies the model to output uncertainty estimates alongside bounding box predictions. The approach was published at ICCV 2019 and was validated on the Berkeley DeepDrive (BDD) dataset for autonomous driving applications.