Learning more about object detection!

In the past week and this week, I am exploring a key application of computer vision: Object detection. Object detection can be useful in many ways as it can detect, identify, and locate objects given a particular image or video data. Particularly, a primary application of object detection is in self-driving cars, robotics, and autonomous navigation where we can accurately detect important parts of the task in real-time. For example, with self-driving cars, they must locate pedestrians, recognize stop signs and signals, and detect speed limits/speed bumps to function in real-time with proper safety and consistency. I want to learn object detection by gaining a deeper understanding of the programming/mathematical theory behind it as well as study parts of computer vision that directly relate to object detection such as image classification, image detection, etc.

Furthermore, I want to explore this particular aspect of self-driving cars and how and why even in the development process, they remain accurate and consistent using deep learning. By learning more about object detection and computer vision, I hope to incorporate this learning into my final project/research to dig even deeper into computer vision. I am also currently considering if I could possibly include natural language processing with computer vision to create a bigger project. So see you next week, same place, same time.