CPC G06T 7/0004 (2013.01) [G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30128 (2013.01); G06V 20/68 (2022.01)] | 20 Claims |
1. A method comprising:
receiving, at a processor, an image of an item;
performing, via the processor using a first pre-trained neural network, feature detection on the image, resulting in a first feature map of the image;
performing, via the processor using a second pre-trained neural network, feature detection on the image, resulting in a second feature map of the image;
creating, via the processor, a combined feature map based on the first feature map and the second feature map;
performing, via the processor using a third pre-trained neural network, feature detection on the combined feature map, resulting in tiered neural network features; and
classifying, via the processor, the item based on the tiered neural network features, the classifying including implementing a set of pre-trained neural networks, the set of pre-trained neural networks having been produced based on the tiered neural network features, the classification being a combination of results of the set of pre-trained neural networks, and a result of each pre-trained neural network of the set of pre-trained neural networks being weighted based on a corresponding accuracy.
|