CPC G06V 20/20 (2022.01) [G06F 18/2113 (2023.01); G06F 18/29 (2023.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01)] | 10 Claims |
1. A method for identifying power equipment targets based on human-level concept learning, including:
creating and annotating a dataset of power equipment images;
training a neural network and a Bayesian network with the annotated dataset and respectively acquire identification results and conditional probabilities;
calculating probabilities of unions with the conditional probabilities; and
filtering out the identification result corresponding to the highest probability of the union as an identification result of the dataset of the power equipment images and complete the identification of the power equipment.
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