Course description

As an essential task, vehicle detection aims to provide information assisting vehicle counting, vehicle speed measurement, identification of traffic accidents, traffic flow prediction, etc. In this project, we will be working on detecting and counting the number of vehicles in a given image or a video. We will be using open CV for image processing and  HAAR cascade, which is used for object detection. 

What will i learn?

• Understanding the problem statement.
• Understanding different libraries and their respective uses.
• In depth exploratory data analysis of each feature. Data cleansing and preparation.
• Creating custom functions for machine learning models.
• In depth explanation of data imputation and filling missing data.
• Defining an approach to solve ML classification problems.
• Data preperation for Machine Learning model.
• Traning and testing the model using cross validation