Betta Fish Classification Using Faster R-CNN Approach with Multi-Augmentation-Reference-Cited by-同舟云学术

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Betta Fish Classification Using Faster R-CNN Approach with Multi-Augmentation

Published:2024-07-10 Issue: Volume:3 Page:500-505
ISSN:
Container-title:2024 International Seminar on Intelligent Technology and Its Applications (ISITIA)
language:
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Author:

Rafi Naoval¹,Zainuddin Zahir¹,Nurtanio Ingrid¹

Affiliation:

1. Universitas Hasanuddin,Department of Informatics,Makassar,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10666971/10667675/10668167.pdf?arnumber=10668167

Reference13 articles.

1. Analysis And Design Of E-Business In Betta Cultivation And Selling Using Overview Methodology;Destriana;Jika J. Inform.,2019

2. Complete Guide To Ornamental Betta Cultivation & Care;Atmadjaja,2008

3. Characteristics Of Contest Halfmoon Bettas You Must Know;Restion

4. Contest Halfmoon Fish, These Are The Characteristics, Freshwater Marine And Aquarium Ornamental Fish

5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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