Landing Ai

Whit Blodgett

Yan Liu

Kai Yang

Francisco Matias Cuenca-Acuna

Andrew Yan-Tak Ng

Yu Qing Zhou

Mark William Sabini

Pingyang He

Daniel Bibireata

Ankur Rawat

Sebastian Rodriguez

Quinn Killough

Leela Seshu Reddy Cheedepudi

Camilo Iral

Zeqi Qiu

Mingrui Zhang

Junjie Guan

Aldrin Leal

Ramesh Sampath

Camilo Zapata

Juan Camilo Fernancez

Cristobal Silva

Sanjay Bodhu

A model management system adaptively refines a training dataset for more effective visual inspection. The system trains a machine learning model using the initial training dataset and sends the trained model to a client for deployment. The deployment process generates outputs that are sent back to the system. The system determines that performance of predictions for noisy data points are inadequate and determines a cause of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. The system determines a cause of failure based on an attribute of the noisy datapoint that deviates from the distribution of the training dataset and performs refinement towards the training dataset based on the identified cause of failure. The system retrains the machine learning model with the refined training dataset and sends the retrained machine learning model back to the client for re-deployment.

Model management system for improving training data through machine learning deployment

Growing community of inventors

San Francisco, CA, United States of America

Whit Blodgett