Synthetic data is the renewable source we need to accelerate the AI industry

If you started annotating today, your new year's resolutions will have comfortably been made and broken by the time you finish. And that's just for something novel, like training a system to pick out a lost child in a busy shopping mall. It takes even more images to help a delivery robot service safely navigate spaces where children are playing. The data scientists working on these systems can spend up to 80% of their time gathering, cleaning, and manually annotating real-world images to be digested by AI systems. It doesn't leave any time for network development or gleaning insights from the data.