Paper Title
An Overview of Deep Learning Models for Object Detection Using WAYMO Open Dataset

Abstract - One of the most important components of Autonomous vehicles is Object Detection which is detecting the objects of interest present in the scene and it can also be said that it is one of the most difficult sub-task for Autonomous driving since the bounding box detection task is also included along with the classification task. This paper demonstrates 2 types of preprocessing methods for the same dataset. It analyzes the efficiency of 2 well-known models i.e Efficient Net family and the Univers Net model. The dataset used for this task is Waymo Open Dataset which provides well-diversified and challenging situations to tackle the Object Detection task. Keywords - Autonomous Vehicles, Object Detection, Classification, Bounding Box, Waymo Dataset, EfficientNet, UniverseNet