CVAT began as an internal tool at Intel in 2017 to help computer vision engineers efficiently label training data. At the time, annotation was a bottleneck, and the available tools were closed, limited, or not scalable. The team built CVAT on top of VATIC, an open-source video annotation tool from Irvine, California, to automate and accelerate labeling for Intel’s internal projects.
2017