基于vgg16网络的多标签图像分类与改进

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) Pub Date : 2022-07-22 DOI:10.1109/ISPDS56360.2022.9874175

Weiguo Yi, Siwei Ma, Heng Zhang, B. Ma

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引用次数: 0

摘要

摘要:针对服装分类问题，提出了一种基于vgg16的卷积神经网络。首先对服装的颜色和名称数据进行标注，然后在vgg16模型上进行训练;最后，对vgg16模型进行微调并添加到迁移学习中。结果表明，该方法的准确率高于原有模型，适用于服装分类，具有良好的应用前景。

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Classification and improvement of multi label image based on vgg16 network

Absrtact: Aiming at the problem of clothing classification, a convolution neural network based on vgg16 is proposed. Firstly, the color and name data of clothing are labeled, and then trained on vgg16 model; Finally, vgg16 model is fine tuned and added to migration learning. The results show that the accuracy of this method is higher than that of the original model, which is suitable for garment classification and has a good application prospect.

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2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)

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