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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|---|---|---|---|
| METHODS AND SYSTEMS FOR AUTOMATED DETERMINATION OF OBJECTS PRESENCE | 2019 |
|
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| METHOD AND SYSTEM FOR DETERMINING TRAJECTORY OF AUTONOMOUS VEHICLE | 2023 |
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|
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| METHOD AND SYSTEM FOR GENERATING TRAINING DATA FOR MACHINE LEARNING ALGORITHM | 2021 |
|
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| METHOD AND SYSTEM FOR CLASSIFYING AN ELECTRONIC DEVICE USER | 2021 |
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| METHOD, EQUIPMENT AND ELECTRONIC DEVICE FOR DETECTING A FACE VITALITY | 2018 |
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| METHOD AND SYSTEM FOR TRAINING MACHINE LEARNING ALGORITHM FOR DETECTING OBJECTS AT A DISTANCE | 2020 |
|
RU2775817C2 |
| METHODS AND SYSTEMS FOR COMPUTER TO DETERMINE PRESENCE OF OBJECTS | 2018 |
|
RU2743895C2 |
| METHOD FOR TRAINING MACHINE LEARNING ALGORITHM FOR PREDICTING INTENT PARAMETER FOR OBJECT ON GROUND FOR USE IN UNMANNED VEHICLES | 2021 |
|
RU2810934C2 |
