Austin Xu

Aug 22, 2023 | amazon.science | Austin Xu |Arjun Seshadri |Raghudeep Gadde |Raffay Hamid

Machine learning (ML) models thrive on data, but gathering and labeling training data can be a resource-intensive process. A common way to address this challenge is with synthetic data, but even synthetic data usually requires laborious hand annotation by human analysts. At this year’s Computer Vision and Pattern Recognition conference (CVPR), we presented a method called HandsOff that eliminates the need to hand-annotate synthetic image data.