CPC G06N 20/10 (2019.01) [G06N 20/00 (2019.01); G06T 17/20 (2013.01); G06V 10/772 (2022.01); G06V 20/10 (2022.01); G06V 20/80 (2022.01); G06V 40/103 (2022.01); G06V 40/107 (2022.01)] | 20 Claims |
1. A method comprising:
storing, on a user device, a convolutional neural network trained to detect different gestures of an object, the convolutional neural network trained on a plurality of images generated from a three-dimensional model of the object, each of the plurality of images depicting the three-dimensional model of the object with a skin texture in a different gesture;
identifying an image depicting a physical object;
classifying, using the convolutional neural network, the physical object as being in a gesture by applying the convolution neural network to the image depicting the physical object;
identifying, by one or more processors of the user device, additional content that is associated with the identified gesture; and
storing the additional content on the user device.
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