Independent Project (ME499), Northwestern University, Winter 2021.
Take a look at my portfolio post for more information about the project.
This project contains 2 modules:
In this module I built and trained a neural network to detect and classify different traffic signs using PyTorch, OpenCV and YoloV3.
This module contained 2 parts:
- Traffic sign classification - Were I build and trained a neural network to classify different traffic-signs images.
- Traffic sign detection - Were I trained neural network to detect different traffic-signs in an image/video.
An example of traffic detection program output:
In this module I built and trained a neural network to detect and classify different traffic signs using PyTorch, OpenCV and YoloV5.
This module contained 2 parts:
- Trash classification - Were I build and trained a neural network to classify different recyclable objects' images.
- Trash detection - Were I trained neural network to detect different recyclable objects in an image/video.
An example of trash detection program output:
As an additional development of the Recycler Baxter project, I used the ML algorithm I implemented in this project to detect and locate the recyclable objects sorted by the baxter robot:
