Automatically generates labeled training photos
Machine Learning (ML) models thrive on data, but collection and labeling of training data can be a resource -intensive process. A common way to tackle this challenge is with synthetic data, but even synthetic data usually requires lavarious hand annotation of human analysts. At this year’s Computer Vision and Pattern Recognition Conference (CVPR) we presented … Read more