Identification for Red Automobile Based on Cifar-10 Using Machine Learning Models

Abstract Algorithms were made and improved across time in different application fields to help them better fit solve problems that human encounter. Specifically, this paper focuses on the identification mission, is commonly needed used by governmental facilities police departments track certain objects. However, it not always easy, methods invent test these algorithms, along with a vast dataset collected for use, so they can be examined before putting into real-life use. An existing called Cifar-10 was introduced chosen, used, design examine accuracy of an method. This mainly red automobile model. The experimental results demonstrated effectiveness Further usages similar models will also applicable corresponding adjustments, hoping make other areas fulfilling goals.