An image recognition method and an unmanned aerial vehicle system are provided. A training image marked with a specified range is received, and a plurality of features are extracted from the training image through a basic model to obtain a feature map. Next, a frame selection is performed on each point on the feature map to obtain a plurality of initial detection frames, and a plurality of candidate regions are selected in the initial detection frames based on the specified range. Thereafter, the obtained candidate regions are classified to obtain a target block, feature data corresponding to the target block is extracted from the feature map, and a parameter of the basic model is adjusted based on the extracted feature data. In the disclosure, a higher-resolution image is achieved, time flexibility is provided, and accuracy of image recognition is thereby improved.


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    Title :

    IMAGE RECOGNITION METHOD AND UNMANNED AERIAL VEHICLE SYSTEM


    Contributors:

    Publication date :

    2022-08-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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