CPC G06Q 30/02 (2013.01) [G06N 3/02 (2013.01); G06T 19/006 (2013.01); G06V 10/774 (2022.01); G06V 10/7788 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06V 20/40 (2022.01); G06V 20/41 (2022.01); G09B 5/065 (2013.01); G06V 10/255 (2022.01); G06V 10/422 (2022.01)] | 20 Claims |
1. A computer-implemented method, comprising:
providing to an object miner within an object mining user interface a first video stream comprising a first sequence of images, wherein the object mining user interface enables the object miner to identify at least one object in the first sequence of images within a region of pixels comprising a plurality of spatial dimensions;
providing to the object miner an incentive in exchange for identifying the at least one object within the first video stream;
receiving from the object miner an identification of the at least one object within the first sequence of images;
training a computer-implemented neural network on a training set that includes the at least one object that is identified;
applying the trained neural network to identify an object representation within a second video stream in response to a user interaction with the object representation, wherein the object representation is a representation of the at least one object that is identified; and
providing to the object miner a compensation in accordance with the user interaction with the representation of the at least one object and the incentive.
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