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BelgiumTS-Classification

Assignment 2: Machine Learning Project

Authors

Faith Ha & Chau Le

Introduction

Dataset contains 27x27 RGB images of traffic signs taken from the Belgium Traffic Sign Dataset. The goal is to classify traffic signs by shape and type, by building a CNN with keras model and trained it with the BelgiumTS dataset. The model achieved a weighted f-1 score of 89% for shape and 66% for type. To test the model the european traffic sign dataset was used.

Test Dataset Source

https://drive.google.com/drive/folders/1AcY281vmGFL5HdL5F-NHA3N5CsM16NZa?usp=sharing

Installation

  • Uploaded files and colab notebook to google colab
  • Replace !ls /content/drive/'My Drive'/COSC2673A2/ with the folder you have placed the files in
  • Run notebook

About

Image Classification model for BelgiumTS

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