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The Competition of Garbage Classification Visual Recognition

  • Conference paper
  • First Online:
Digital TV and Wireless Multimedia Communication (IFTC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1181))

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Abstract

This paper introduces the details of “Tianyi Cup” Intelligent Environmental Protection challenge. It includes the assumption of different topics, the selection and preparation of garbage data sets, the segmentation and preprocessing of garbage data sets, as well as the results of competition run on the final data set. And put forward some reasonable suggestions to promote the level of garbage classification.

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References

  1. http://english.www.gov.cn/policies/latest_releases/2017/03/30/content_281475612021190.htm

  2. Web news. https://www.china-admissions.com/blog/china-waste-management-shanghai/

  3. Ning, Y., Cao, Y.: Analysis of Shanghai living garbage classification and processing. In: 5th International Conference on Education, Management and Information Technology, pp. 56–61 (2019)

    Google Scholar 

  4. Thung, G., Yang, M.: Classification of trash for recyclability status (2016)

    Google Scholar 

  5. Mittal, G., Yagnik, K.B., Garg, M., Krishnan, N.C.: Spotgarbage: smartphone app to detect garbage using deep learning. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, New York, pp. 940–945 (2016)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Internet Department, China Telecom Shanghai Branch, Shanghai, China

    Yiyi Lu, Hanlong Guo, Jiaming Ma & Zhengrong Ge

Authors
  1. Yiyi Lu
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  2. Hanlong Guo
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  3. Jiaming Ma
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  4. Zhengrong Ge
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Corresponding author

Correspondence to Zhengrong Ge .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Guangtao Zhai

  2. Shanghai Jiao Tong University, Shanghai, China

    Jun Zhou

  3. Shanghai Jiao Tong University, Shanghai, China

    Hua Yang

  4. Shanghai University, Shanghai, China

    Ping An

  5. Shanghai Jiao Tong University, Shanghai, China

    Xiaokang Yang

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Lu, Y., Guo, H., Ma, J., Ge, Z. (2020). The Competition of Garbage Classification Visual Recognition. In: Zhai, G., Zhou, J., Yang, H., An, P., Yang, X. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2019. Communications in Computer and Information Science, vol 1181. Springer, Singapore. https://doi.org/10.1007/978-981-15-3341-9_19

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  • DOI: https://doi.org/10.1007/978-981-15-3341-9_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3340-2

  • Online ISBN: 978-981-15-3341-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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