Performance evaluation of the multiclass classification of flowers on diverse datasets-Reference-Cited by-同舟云学术

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Performance evaluation of the multiclass classification of flowers on diverse datasets

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Hai Phong Bui¹,Anh Tuan Dinh²,Nam Hoang Nhat³,Nguyen Bao Do⁴

Affiliation:

1. Hanoi Architectural University,Faculty of Information Technology,Hanoi,Vietnam

2. Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Hanoi,Vietnam

3. Worcester Academy,Worcester Academy (High School),Hanoi,Vietnam

4. George School (High School) George School,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10252422.pdf?arnumber=10252422

Reference14 articles.

1. kaggle flower datasets,2023

2. 5 flower datasets,2023

3. Visualizing data using t-sne;van der;J Machine Learning Research,2008

4. Textural features in flower classification

5. Plant species identification by using Scale Invariant Feature Transform (SIFT) and Grid Based Colour Moment (GBCM)

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