Landing Ai

Whitney Blodgett

Kai Yang

Andrew Yan-Tak Ng

Mark William Sabini

Dillon Laird

Daniel Bibireata

Yan Liu

Shankaranand Jagadeesan

Sebastian Rodriguez

Yuxiang Zhang

Quinn Killough

YuQing Zhou

Camilo Zapata

Yazhou Cao

Gregory Diamos

Sanjay Boddhu

A model management system performs error analysis on results predicted by a machine learning model. The model management system identifies an incorrectly classified image outputted from a machine learning model and identifies using the Neural Template Matching (NTM) algorithm, an additional image correlated to the selected image. The system outputs correlated images based on a given image and a selection by a user through a user interface of a region of interest (ROI) of the given image. The region is defined by a bounding polygon input and the correlated images include features correlated to the features within the ROI. The system prompts a task associated with the additional image. The system receives a response that includes an indication that the additional image is incorrectly labeled and including a replacement label and instruct that the machine learning model be retrained using an updated training dataset that includes the replacement label.

Guided workflow for deep learning error analysis

Growing community of inventors

San Francisco, CA, United States of America

Whitney Blodgett