Algorithms, computation and visual data are the three pillars of computer vision (CV). Researchers, institutions and open source communities have produced sophisticated algorithms and open-sourced code; while global tech giants' supercharged cloud platforms provide all the computational power CV researchers require. However, efficiently sourcing visual data -- particularly images with high-quality annotations -- remains a challenge. Building large datasets is a time-consuming and labor-intensive task which challenges entities with limited budgets. There are hundreds of open visual datasets out there, but searching across them and their millions of entries is not a simple task.
Jun-23-2019, 21:17:23 GMT