Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano
Computer Vision and Pattern Recognition
2021-05-31 v1 Artificial Intelligence
Distributed, Parallel, and Cluster Computing
Image and Video Processing
Abstract
In this project, we have used the 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 the Nvidia Jetson Nano Developer kit. Model code is written in Pytorch's deep learning framework. The programming language used is Python.
Cite
@article{arxiv.2105.13906,
title = {Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano},
author = {Saif Ur Rehman and Muhammad Rashid Razzaq and Muhammad Hadi Hussian},
journal= {arXiv preprint arXiv:2105.13906},
year = {2021}
}
Comments
7 Pages, 7 figures