METHODS AND SYSTEMS FOR FORMING TRAINING DATA FOR A NEURAL NETWORK Russian patent published in 2021 - IPC G06T7/20 G06T5/00 G06K9/46 

Abstract RU 2763215 C2

FIELD: data processing.

SUBSTANCE: group of inventions relates to a method and a computer apparatus for forming training data for re-training a neural network for detecting objects. In order to form training data, a first digital image is introduced into the neural network (object detecting Neural Network, ODNN), constituting a digital signal of the detected object at a first moment of time, and a second digital image at a second moment of time after the first moment of time, said images are compared in order to determine the degree of similarity. If the degree of similarity is below the predetermined threshold value, the first or the second image is used to generate a human-evaluated label indicating the real part of the first or second image, and the ODNN network is re-trained.

EFFECT: object detection network ODNN is re-trained.

32 cl, 7 dwg

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RU 2 763 215 C2

Authors

Orlov Vsevolod Nikolaevich

Dates

2021-12-28Published

2020-04-10Filed