Object Detection with SSD and MobileNet

1. Introduction

Object detection is one of the most prominent fields of research in computer vision today. It is an extension of image classification, where the goal is to identify one or more classes of objects in an image and localize their presence with the help of bounding boxes as can be seen in figure 1. Hence, object detection plays a vital role in many real-world applications such as image retrieval and video surveillance, to simply name a few. With this in mind, the main aim of our project is to investigate the inner workings of the “Single

--

--

--

I am a researcher at Generatrix- An AI-based privacy preserving data synthesizing platform. I have an avid passion for new and emerging technologies in AI & ML

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Machine Learning is Closer to us than we Think

From Norm to Orthogonality: Fundamental Mathematics for Machine Learning with Intuitive Examples…

What is the Best Facial Recognition Software to Use in 2021?

Russian Alphabet Classification Using Monk AI

Understanding “Bias and Variance trade-off” for the final

Why it’s Not Difficult to Train A Neural Network with a Dynamic Structure Anymore!

End to End (E2E) Machine Learning on Azure.

Using Machine Learning and CoreML to control ARKit

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Aditya Kunar

Aditya Kunar

I am a researcher at Generatrix- An AI-based privacy preserving data synthesizing platform. I have an avid passion for new and emerging technologies in AI & ML

More from Medium

Simple YOLOv5 Part 1 : Deploy YOLOv5 on Windows

Multi-person pose estimation with Mediapipe and Yolov5

Basic Opertions on Image using OpenCV Module in Python

Face Detection using Haarcascade Classifier and OpenCV