Patent ID: 11868437
Assignee: SIGHTHOUND, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for creating a training set for a neural network from a base set, the base set comprising a plurality of raw digital items, the method comprising:
receiving the base set;
providing a raw digital item of the plurality of raw digital items to a user via a user interface, the user interface providing at least an option to enhance the raw digital item with at least one enhancement;
using the user interface, receiving a request to enhance the raw digital item with the at least one enhancement;
with a training system, processing the raw digital item and the request to enhance the raw digital item with the at least one enhancement to produce a trained enhancer;
using the trained enhancer, applying the at least one enhancement by enhancing the raw digital item to produce an enhanced digital item;
using a labeling system automatically deriving at least one tag based at least on the enhanced digital item;
associating the at least one tag with the raw digital item; and
with the training system, processing the at least one tag and the raw digital item to produce a trained neural network.