Object-recognition
The purpose is to classify a given silhouette as one of three types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.
Objective:
Apply dimensionality reduction technique –PCA and train a model using principle components instead of training the model using just the raw data.
Techniques used:
Exploratory Data Analysis Reduce number dimensions in the dataset with minimal information loss Train a model using Principle Components