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Research and Implementation Of Image Recognition of Tea Based on Deep Learning
- Source :
- SNPD Winter
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- With the advent of the Internet era, deep learning technology is developing rapidly in a wide range of application scenarios. As one of the main research methods of deep learning, convolutional neural network is widely used in the field of image recognition [5]. This paper hopes to build a modern intelligent tea image recognition system by combining in-depth learning technology, so as to help inherit traditional Chinese culture. The main work of this paper is as follows:(1)Making a sample data set containing about 49000 pictures;(2)Constructing convolution neural network;(3)The correct rate of training image recognition model is 96%;(4)Realize tea picture recognition;(5)Build the web page.Under the framework of tensorflow, the program of this subject realizes the tea picture recognition function by training convolution neural network [5][6], and builds it in the beautiful web page, so that the tea culture can be presented and spread in a more modern form, which is conducive to the inheritance and development of Chinese traditional culture.
- Subjects :
- Artificial neural network
business.industry
Tea culture
Computer science
media_common.quotation_subject
Deep learning
02 engineering and technology
Convolutional neural network
Field (computer science)
Web page
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
The Internet
Artificial intelligence
business
Function (engineering)
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)
- Accession number :
- edsair.doi...........ff7edde6ce2054d7f1373bfc88ff706c