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A vegetable category recognition system: a comparison study for caffe and Chainer DNN frameworks

A vegetable category recognition system: a comparison study for caffe and Chainer DNN frameworks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918065015

A vegetable category recognition system: a comparison study for caffe and Chainer DNN frameworks

About this item

Full title

A vegetable category recognition system: a comparison study for caffe and Chainer DNN frameworks

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Soft computing (Berlin, Germany), 2019-05, Vol.23 (9), p.3129-3136

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Deep neural network (DNN) has a deep hierarchy that connects multiple internal layers for feature detection and recognition. In our previous work, we proposed a vegetable recognition system which was based on Caffe framework. In this paper, we propose a vegetable category recognition system using DNN frameworks. We present a Vegeshop tool and websi...

Alternative Titles

Full title

A vegetable category recognition system: a comparison study for caffe and Chainer DNN frameworks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2918065015

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918065015

Other Identifiers

ISSN

1432-7643

E-ISSN

1433-7479

DOI

10.1007/s00500-017-2959-y

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