Recap & conclusions of phase 1 Before diving into phase two, let’s briefly revisit the goals of the Carmageddon project: It is a Data Science capstone project where I use deep learning techniques (Such as CNNs) to identify cars based on a car-listing website. The goal is to avoid using systems such as MechanicalTurk or […]
Carmageddon part 1: A captivating Data Science capstone project – building a CNN for vehicle identification using sourced data.
Intro: Project goal and outset I created an image classification model that identifies car brands from a given picture without using the traditional datasets used such as Stanford Cars, VMMRDB, or any other dataset that is commonly used in this kind of research topics. In stead I created my own data using custom Python scripts […]