Traffic Light Recognition using Deep Learning

Traffic Light Recognition using Deep Learning

Vamshi Gudavarthi

Vamshi Gudavarthi

Lakeside, California

Recognizing Traffic lights in the driving direction using Deep Learning. The dataset contains images taken by the drivers using Nexar app.

Artificial Intelligence

  • 0 Collaborators

  • 1 Followers

    Follow

Description

This project is pursued as a final project for the course Neural Networks and Pattern Recognition taken at University of California, San Diego. We tried to solve the problem posed in Nexar challenge shown in the following link, (https://challenge.getnexar.com/challenge-1). Although the challenge is over by then we are able to solve to the extent we were almost there matching the 2nd rank shown in their leaderboard. Also we localized the region of traffic lights using UCSD Traffic lights dataset where data for bounding boxes is also available. Apart from this I had many other machine learning and deep learning projects to my credit. Also I am currently enrolled for graduate study at UCSD specializing in Intelligent Systems, Robotics & Control. Following is one of the reference we used for our project (Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks by Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun)

Default user avatar 57012e2942

hassan a. created project Scooter

Medium 8033e354 e53d 4f13 9740 494164ce0578

Scooter

i already made the full mockup for the application and am try now to convert that work to an application to send the shipment details to my couriers

Default user avatar 57012e2942

hassan a. updated status

Default user avatar 57012e2942

hassan adel

am working on building a mobile application for my business i have shipping company it's on demand service and i would like to use mobile app to send delivery to couriers

See More

No users to show at the moment.

Bigger bob duffy 3d head avatar
  • Projects 4
  • Followers 91

Bob Duffy

Folsom, CA, USA