The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 17, 2025
Filed:
Oct. 21, 2022
Landingai Inc., Palo Alto, CA (US);
Mark William Sabini, River Edge, NJ (US);
Kai Yang, Fremont, CA (US);
Andrew Yan-Tak Ng, Camas, WA (US);
Daniel Bibireata, Bellevue, WA (US);
Dillon Laird, Santa Monica, CA (US);
Whitney Blodgett, San Francisco, CA (US);
Yan Liu, Dalian, CN;
Yazhou Cao, San Carlos, CA (US);
Yuxiang Zhang, Shanghai, CN;
Gregory Diamos, Menlo Park, CA (US);
YuQing Zhou, Palo Alto, CA (US);
Sanjay Boddhu, Aurora, IL (US);
Quinn Killough, Sonoma, CA (US);
Shankaranand Jagadeesan, San Jose, CA (US);
Camilo Zapata, Bogota, CO;
Sebastian Rodriguez, Medellin, CO;
LandingAI Inc., Palo Alto, CA (US);
Abstract
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.