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.

Date of Patent:
Mar. 17, 2026

Filed:

Jul. 28, 2023
Applicant:

Landingai Inc., Palo Alto, CA (US);

Inventors:

Mark William Sabini, River Edge, NJ (US);

Abdelhamid Bouzid, Louisville, KY (US);

Yu Qing Zhou, Stanford, CA (US);

Dillon Laird, Santa Monica, CA (US);

Kai Yang, Fremont, CA (US);

Ankur Rawat, Bothell, WA (US);

Andrew Yan-Tak Ng, Camas, WA (US);

Daniel Bibireata, Bellevue, WA (US);

Shankaranand Jagadeesan, San Jose, CA (US);

Whitney Wentworth Blodgett, San Francisco, CA (US);

Assignee:

LandingAI Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/94 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/7753 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/945 (2022.01); G06V 20/70 (2022.01);
Abstract

A device generates a training set of images by, for each image of a plurality of training images, receiving user input of a set of labels for a portion of the image, the portion less than an entirety of the image, the set of labels comprising classifications of individual pixels within the image, and automatically applying a label of unknown to a remainder of the image that excludes the portion of the image. The device inputs an unlabeled image into a machine learning model, the machine learning model trained using the training set, and receives, as output from the machine learning model, predicted classifications for each pixel of the image.


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