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This document presents a framework for fast and scalable Binarized Neural Network (BNN) inference using Googlenet and transfer learning to enhance object detection accuracy and performance in real-time applications. It discusses the implementation of deep learning techniques, specifically utilizing TensorFlow and Nvidia Jetson Nano, to process large datasets effectively while overcoming challenges in traditional object detection architectures. The results indicate improved accuracy and efficiency in object

Author

blackpearlpraveen01

Language

EN