Machine Learning based defect area recognition
Machine Learning that really works.
Highly accurate recognition of waste material with as little as 1500 waste areas (or 800 rolls) as training data provided by you.
State of the Art
Our exceptional performance is made possible e.g. by utilizing state of the art semi-automated hyperparameter optimization such as Tree of Parzen Estimators.