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Monitoring and managing the growth and quality of fruits are very important tasks. To effectively train deep learning models like YOLO for real-time fruit detection, high-quality image datasets are essential. However, such datasets are often lacking
Externí odkaz:
http://arxiv.org/abs/2407.10413
Publikováno v:
In Biosystems Engineering February 2023 226:252-265
Autor:
Park, Sangwoon1 (AUTHOR), Yoon, Seungri1 (AUTHOR), Min, Sun‐Joon1,2 (AUTHOR) sjmin@hanyang.ac.kr
Publikováno v:
Bulletin of the Korean Chemical Society. Mar2021, Vol. 42 Issue 3, p525-528. 4p.
Akademický článek
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Publikováno v:
ACS Omega; 9/13/2022, Vol. 7 Issue 36, p32562-32568, 7p
Publikováno v:
Bulletin of the Korean Chemical Society; March 2021, Vol. 42 Issue: 3 p525-528, 4p
Autor:
Jung S; Department of Applied Chemistry, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea.; Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea., Yoon S; Department of Applied Chemistry, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea.; Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea., Lee JK; Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea., Min SJ; Department of Applied Chemistry, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea.; Center for Bionano Intelligence Education and Research, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea.; Department of Chemical & Molecular Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Republic of Korea.
Publikováno v:
ACS omega [ACS Omega] 2022 Aug 31; Vol. 7 (36), pp. 32562-32568. Date of Electronic Publication: 2022 Aug 31 (Print Publication: 2022).