Shypd.aiThe largest open index of AI toolsGaussian_YOLOv3 is an open-source object detection tool that uses localization uncertainty for accurate and fast object detection. It is designed for autonomous driving applications and is implemented based on the YOLOv3 framework.
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Gaussian_YOLOv3 is an implementation of the Gaussian YOLOv3 object detection algorithm, specifically designed for autonomous driving applications. This open-source tool leverages localization uncertainty to achieve accurate and fast object detection. It is built upon the official YOLOv3 framework, providing a robust foundation for its capabilities. The repository includes code, pre-trained weights, and detailed instructions for setup, training, inference, and evaluation using datasets like Berkeley Deep Drive (BDD). It supports multi-GPU training and offers evaluation metrics such as mAP, demonstrating its effectiveness in real-world scenarios.
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