OCEL.AI
No Result
View All Result
Monday, April 19, 2021
  • Login
  • Home
  • Story Telling
  • Data Sharing
    • Data Sharing
    • Data Searching
    • Data Integration
  • ML Experience
  • Applications
    • Applications
    • Data Visualization
    • ML Applications
  • Ethics
  • Courses
    • University Of Missouri Kansas City
      • Python/DL Programming
      • Big Data Programming
      • Web/Mobile Programing
      • Big Data Analysis and Application
      • Interactive and Social Media Advertising
    • University of Florida
      • ADV 3500 Digital Insights
    • Essex County College
      • CSC 231 Database Design
      • CSC 232 Advanced Database Management
    • Eastern Michigan University
      • JRNL453: Advanced Reporting
  • News/Events
  • Resources
    • Demo Projects
    • Documentation
    • Setup Tableau
    • Tools
Forum
OCEL.AI
  • Home
  • Story Telling
  • Data Sharing
    • Data Sharing
    • Data Searching
    • Data Integration
  • ML Experience
  • Applications
    • Applications
    • Data Visualization
    • ML Applications
  • Ethics
  • Courses
    • University Of Missouri Kansas City
      • Python/DL Programming
      • Big Data Programming
      • Web/Mobile Programing
      • Big Data Analysis and Application
      • Interactive and Social Media Advertising
    • University of Florida
      • ADV 3500 Digital Insights
    • Essex County College
      • CSC 231 Database Design
      • CSC 232 Advanced Database Management
    • Eastern Michigan University
      • JRNL453: Advanced Reporting
  • News/Events
  • Resources
    • Demo Projects
    • Documentation
    • Setup Tableau
    • Tools
No Result
View All Result
OCEL.AI
No Result
View All Result
Home Submission 1 Spring 2021

Object Detection using RetinaNet

by OCEL.AI
February 26, 2021
in Submission 1 Spring 2021
2 min read
10
VIEWS
FacebookTwitterPinterestLinkedIn

Project Description

Keywords – Retina Net Algorithm, Object Detection, Python, Deep Learning.

Introduction
Now a days, there are a number of disabled people, specifically, partial vision around the world needs help through using available technology. Partial vision occurs when a human unable to see normally or partial loss of vision. In [1] stated that, most of partial vision people have come across embarrassing moments in between societies due to their lack of vision. And this loss is making their daily life harder than normal human beings. In this project, the aim is to use available technologies to create and develop a way to help them with detecting some objects throughout their daily activities. Machine Learning is the approach of this project.

Background Survey
In [2], it explains how in recent years, laptop vision technologies particularly the deep convolutional neural network have been quickly created. By using laptop vision strategies, it will be easy to help individual people with vision loss. We would like to discuss the idea of using the sense of hearing to detect visual objects during this project. We might be able to detect the object with a background voice. In [3], deformable elements model which uses the root filters to detect the whole image in a window and CNN layers will help us for bounding boxes to classify. Retina net model has been contrasted and differed elective models. In [4] shows Retina net model appearance all out picture at take a glance at time accordingly its expectations and are edified by world setting. It makes expectations with one system examination. Here item location might be a relapse downside to spatially isolated bouncing boxes and related classification possibilities.

Conclusion
Having a goal to help human is the best choice to success. This project focuses on using object detection along with Retina Net Algorithm for detecting a number of objects that might be helpful to partial vision patients during their daily activities. Most important, we will have the opportunity to learn Deep Learning technology as students.

REFERENCE
[1] Michaels, E. (2021, February 04). Finding happiness through pain and embarrassment. Retrieved February 26, 2021, from https://www.audible.com/pd/B08VTVNDYL
[2] Thatti, H. R. (n.d.). Real Time Multi-Object Identification Using RetinaNet. Retrieved February 25, 2021.
[3] P. F. Felzenszwalb, R. B. Girshick, D. McAllester and D. Ramanan, “Object Detection with Discriminatively Trained Part-Based Models,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 9, pp. 1627-1645, Sept. 2010, doi: 10.1109/TPAMI.2009.167.
[4] T. Lin, P. Goyal, R. Girshick, K. He and P. Dollár, “Focal Loss for Dense Object Detection,” 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017, pp. 2999-3007, doi: 10.1109/ICCV.2017.324.

Course: Python/DL Programming

Team Members (04)
China Venkat Chowdary Arikatla – vapnc@umsystem.edu
Venkata Rahul Torlikonda – vtkn2@umsystem.edu
Ahmed Alanazi – aha85b@umsystem.edu
Rasheed Alhazmi – rkac74@umsystem.edu

GitHub: https://github.com/acvc279/Python-Project/wiki/Increment_1

ShareTweetSendShareShareSendShare
Previous Post

Gender and Age Classification

Next Post

Gamers’ Networking

Next Post

Gamers' Networking

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This work was partially sponsored by NSF.

NSF IUSE #1935076
CUE Ethics: Collaborative Research: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science

01/01/2020 – 6/30/2021, $ 350,000

Copyright © 2020 OCEL.AI.

 

Quick Links

  • Documentation
  • Faculty/TA Registation 
  • Student Course Registration
No Result
View All Result
  • Home
  • Story Telling
  • Data Sharing
    • Data Sharing
    • Data Searching
    • Data Integration
  • ML Experience
  • Applications
    • Applications
    • Data Visualization
    • ML Applications
  • Ethics
  • Courses
    • University Of Missouri Kansas City
      • Python/DL Programming
      • Big Data Programming
      • Web/Mobile Programing
      • Big Data Analysis and Application
      • Interactive and Social Media Advertising
    • University of Florida
      • ADV 3500 Digital Insights
    • Essex County College
      • CSC 231 Database Design
      • CSC 232 Advanced Database Management
    • Eastern Michigan University
      • JRNL453: Advanced Reporting
  • News/Events
  • Resources
    • Demo Projects
    • Documentation
    • Setup Tableau
    • Tools

Welcome Back!

OR

Login to your account below

Forgotten Password?

Create New Account!

Fill the forms bellow to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In