Object recognition method, device, electronic equipment, storage medium and program product

Abstract

The embodiment of the invention discloses an object recognition method, a device, electronic equipment, a storage medium and a program product. The object recognition method comprises the steps of obtaining a target object material; extracting a first preset feature of the target object material; and calculating the similarity between the first preset feature and a second preset feature in a preset feature library generated based on metric learning, and determining the comparison object category corresponding to the second preset feature with the highest similarity as the category of the target object. According to the technical scheme, each newly-added category does not need to be trained again, so that the method can be suitable for application scenes in which the appearances of dishes and other meals are difficult to unify and are frequently updated, and fast, effective and stable meal classification and recognition are realized.

Description

technical field [0001] The present disclosure relates to the technical field of data identification, and in particular to an object identification method, device, electronic equipment, storage medium and program product. Background technique [0002] With the development of data technology and deep learning technology, the application of object classification and recognition based on artificial intelligence is becoming more and more extensive. However, the classification and recognition of dishes and other meals has not been realized in the prior art. Even if the existing object classification and recognition methods are directly used to classify and recognize meals, because the appearance of dishes and other meals is difficult to unify and is often updated, At the same time, the existing object classification and recognition methods need to be retrained for each new category, so it is difficult to achieve fast, effective and stable meal classification and recognition. Con...

AI Technical Summary

Problems solved by technology

However, the classification and recognition of dishes and other meals has not been realized in the prior art. Even if the existing object classification and recognition methods are directly used to classify and recognize meals, because the appearance of dishes and other meals is difficult to unify and is often updated, At the same time, the existing object classification and recognition methods need to be retrained for each new category, so it is difficult to achieve fast, effective and stable meal classification and recognition

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