CPC G06N 3/08 (2013.01) [G06F 18/214 (2023.01); G06F 18/2193 (2023.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); G06V 20/597 (2022.01); G06V 20/647 (2022.01); G06V 40/171 (2022.01); G06V 40/193 (2022.01)] | 20 Claims |
1. A method comprising:
determining, using one or more machine learning models (MLMs), and based at least on first image data representing a first portion of an image, one or more landmark points for a subject at least partially depicted in the first portion;
determining one or more confidence values corresponding to amounts of occlusion depicted in the first portion of the image corresponding to the one or more landmark points;
selecting a second portion of the image based at least on one or more portions of the subject in the image detected using the one or more confidence values;
computing one or more properties of the subject based at least on analyzing second image data representing the second portion of the image; and
initiating one or more operations of a machine based at least on the one or more properties of the subject.
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