Object Detection: An Overview

The goal of the project is to run an object detection algorithm on every frame of a video, thus allowing the algorithm to detect all the objects in it, including but not limited to: people, vehicles, animals etc. Object recognition and detection play a crucial role in computer vision and automated driving systems. We aim to design a system that does not compromise on performance or accuracy and provides real-time solutions. With the importance of computer vision growing with each passing day, models that deliver high-performance results are all the more dominant. Exponential growth in computing power as-well-as growing popularity in deep learning led to a stark increase in high-performance algorithms that solve real-world problems. Our model can be taken a step further, allowing the user the flexibility to detect only the objects that are needed at the moment despite being trained on a larger dataset.