Training of SSD (Single Shot Detector) for Facial Detection Using Nvidia Jetson Nano

In this project we have used computer vision algorithm SSD (Single Shot detector) computer vision algorithm and trained this algorithm from the dataset which consists of 139 Pictures. Images were labeled using Intel CVAT (Computer Vision Annotation Tool). We trained this model for facial detection. We have deployed our trained model and software in NVIDIA Jetson Nano Developer kit. Model code is written in PyTorch deep learning framework. Programming language used is python.

Author(s): Saif Ur Rehman* , Muhammad Rashid and Muhammad Hadi

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