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

arXiv: https://arxiv.org/abs/2105.13906 · HTML: https://mlsanity.com/paper/2105.13906/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 5 references that are in the map.
- First posted on arXiv 28 May 2021.

## Builds on (most cited first, 1 of 1)

- [ImageNet Large Scale Visual Recognition Challenge](https://mlsanity.com/paper/1409.0575/) (2014)

## Abstract (arXiv)

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.