Simplify data annotation and model training tasks with Amazon Rekognition Custom Labels

Favorite For a supervised machine learning (ML) problem, labels are values expected to be learned and predicted by a model. To obtain accurate labels, ML practitioners can either record them in real time or conduct offline data annotation, which are activities that assign labels to the dataset based on human
Read More Shared by AWS Machine Learning July 22, 2021