A clothing attribute tag identification method based on fine classification of a neural network model

Abstract

The invention discloses a clothing attribute tag identification method based on fine classification of a neural network model, which comprises the following steps: (1) cutting a collected clothing picture by using a target detection algorithm Faster RCNN, and removing redundant irrelevant backgrounds; (2) separating different background type pictures into a tiled picture and a model picture; (3) carrying out data augmentation on the obtained picture, including reflection, rotation and random stretching operation, increasing the number of pictures, and obtaining augmented training data; (4) taking the obtained augmented training data as a training set, training a NasNet improved multi-classification network, and training an inception resnetv2 improved multi-classification network; and (5) fusing the network models trained by NasNet and inception netv2, and outputting the attribute tags of the clothes by adopting a weighted average fusion method. The method can be widely applied to application scenarios such as clothing image retrieval, tag navigation and clothing matching.

Description

technical field [0001] The invention relates to computer vision processing based on a neural network model to realize image classification and target detection, and in particular to a clothing attribute label recognition method based on fine classification of a neural network model. Background technique [0002] With the rapid development of computer vision (machine vision), object classification and target detection methods in computer vision have been applied to all aspects of real life, such as automatic driving, facial recognition payment, industrial automatic classification machine, image retrieval, etc. Applications. Recent advances in neural networks and deep learning have greatly advanced the development of these state-of-the-art visual recognition systems. And computer vision has also shown its prominence in the fashion industry. AI fashion has made greater changes to our lives and has had a huge impact on our dressing and matching. The classification of clothing a...

AI Technical Summary

Problems solved by technology

For image classification, there are also great technical challenges. Specifically, there are viewpoint changes, scale changes, intra-class changes, image deformation, image occlusion, lighting conditions and background noise, etc.

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