With the rise in popularity of Autonomous Driving technology, Computer Vision for Object Detection, and Deep Learning – The potential of AI has time and again proven to be colossal.
Although 2D camera data is used to teach autonomous vehicles to find their way from Point A to PointB, it comes with its own set of drawbacks.
Choosing an appropriate loss function is important as it affects the ability of the algorithm to produce optimum results as fast as possible.
The most important thing that the computer vision expert does is to decide which annotation type is needed to build the most accurate model(s) for object detection.
I have briefly written about the ways you can start gathering training data. This depends majorly on the use case you plan to work on.