IEEE/ICACT20240034 Slide.17        [Big Slide]       [YouTube] Oral Presentation
And the Results part After image recognition after using our system, we can get a simple data structure chain. When a new image comes, it will check the main object first, with own properties and sub-class object, sub-class object will be the noun, the thing belong main object and properties will be adjective for main object. For example, the no.1 main object is the person that in the middle. the clothing is the sub-object and emotion is the properties. Once we get the main object for the first segment of image recognition, we will send the results to the next independent model. Each model is only responsible for a part of the recognition, allowing the model to focus more on a specific dataset, and recognize the sub-objects. Models can run at the same time, it will reduce time cost.

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