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:
Apr. 25, 2023

Filed:

Feb. 12, 2020
Applicant:

Scale Ai, Inc., San Francisco, CA (US);

Inventors:

Daniel Havír, San Francisco, CA (US);

Chiao-Lun Cheng, San Francisco, CA (US);

Elliot Branson, San Francisco, CA (US);

Nathan Herman, San Francisco, CA (US);

Nathan Hayflick, San Francisco, CA (US);

Simon Alexander Hewat, Danville, CA (US);

Suchir Balaji, Berekley, CA (US);

Shariq Hashme, San Francisco, CA (US);

Assignee:

SCALE AI, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 20/00 (2019.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 20/00 (2019.01); G06T 7/136 (2017.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01);
Abstract

One embodiment of the present invention sets forth a technique for performing a labeling task. The technique includes generating a multi-scale representation of an image as input to a machine learning model. The technique also includes performing one or more operations that apply the machine learning model to the multi-scale representation of the image to produce a semantic segmentation comprising predictions of labels for regions of pixels in the image. The technique further includes outputting, in a user interface, the semantic segmentation for use in assisting a user in specifying the labels for the pixels in the image.


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