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Detection of Underwater Trash Objectsusing Deep Learning Algorithms
Mathangi, Mounica
Blekinge Institute of Technology.
2023 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2023. , p. 66
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-25308
OAI: oai:DiVA.org:bth-25308
DiVA, id:
diva2:1789963
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVADA Master Qualification Plan in Computer Science
Supervisors
Kusetoğullari, Huseyin
Blekinge Institute of Technology.
Examiners
Mendes, Emilia
Blekinge Institute of Technology.
Available from:
2023-08-21
Created:
2023-08-21
Last updated:
2023-08-21
Bibliographically approved
Open Access in DiVA
Detection of Underwater Trash Objects using Deep Learning Algorithms
(3499 kB)
1512 downloads
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FULLTEXT02.pdf
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d67416284f91d5811f46b063e8d28b5130a911e0c6b7cc3bbfa1ed4d0632279c6630a98df640d7767eee855df835b62347ad8d1c8a423753e30c1853eea1693a
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Blekinge Institute of Technology
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Computer Sciences
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Total: 1515 downloads
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
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nn-NB
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