Staring at Images: A Comprehensive Exploration of Object Detection

Authors

August Tewell, The College of WoosterFollow

Abstract

In this work, we give a comprehensive examination of object detection, train a custom single-stage detector model, and implement a web application interfaces with the model. This will begin with an overview of the field of machine learning, before focusing in on convolutional neural networks. From there, the paper discusses datasets and backbone, key components for object detection. At this point, the paper will discuss the three types of object detectors before analyzing lightweight networks.

Advisor

Bhowmik, Kowshik

Department

Computer Science

Recommended Citation

Tewell, August, "Staring at Images: A Comprehensive Exploration of Object Detection" (2023). Senior Independent Study Theses. Paper 10511.
https://openworks.wooster.edu/independentstudy/10511

Disciplines

Artificial Intelligence and Robotics

Keywords

object detection, neural networks

Publication Date

2023

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis