Deep Neural Networks for Automatic Flower Species Localization and Recognition
Deep Neural Networks for Automatic Flower Species Localization and Recognition
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Author / Creator
Publisher
United States: Hindawi
Journal title
Language
English
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Publication information
Publisher
United States: Hindawi
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Scope and Contents
Contents
Deep neural networks are efficient methods of recognizing image patterns and have been largely implemented in computer vision applications. Object detection has many applications in computer vision, including face and vehicle detection, video surveillance, and plant leaf detection. An automatic flower identification system over categories is still...
Alternative Titles
Full title
Deep Neural Networks for Automatic Flower Species Localization and Recognition
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9076332
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9076332
Other Identifiers
ISSN
1687-5265
E-ISSN
1687-5273
DOI
10.1155/2022/9359353
