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STUDI KOMPARATIF ARSITEKTUR BACKBONE MODEL CNN PADA YOLOV5 UNTUK EFISIENSI DETEKSI OBJEK DALAM IDENTIFIKASI JENIS TANAMAN

EMO, ZEKA (2026) STUDI KOMPARATIF ARSITEKTUR BACKBONE MODEL CNN PADA YOLOV5 UNTUK EFISIENSI DETEKSI OBJEK DALAM IDENTIFIKASI JENIS TANAMAN. Undergraduate thesis, UNIVERSITAS DIPONEGORO; FAKULTAS TEKNIK.

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Item Type: Thesis (Undergraduate)
Subjects: Engineering
Divisions: Faculty of Engineering > Department of Computer Engineering
Depositing User: nurohmi pwk
Date Deposited: 25 Sep 2026 04:36
Last Modified: 25 Sep 2026 04:36
URI: https://eprints2.undip.ac.id/id/eprint/61863

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