Real-Life Data vs. Synthetic Data: How Computer Vision Engineers Allocate Their Time
Computer vision engineers are at the forefront of teaching machines to “see” and understand the world. Their daily practices, and ultimately the pace of AI innovation, are shaped by the kind of data they use—either real-life imagery painstakingly collected from the physical world, or synthetic data generated by advanced simulation engines. Let’s examine how these […]