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Autori principali: budak, izemnur, BAL, Sezen, Korkmaz, Hayriye
Natura: Recurso digital
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Pubblicazione: Zenodo 2025
Accesso online:https://doi.org/10.5281/zenodo.17909466
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author budak, izemnur
BAL, Sezen
Korkmaz, Hayriye
author_facet budak, izemnur
BAL, Sezen
Korkmaz, Hayriye
contents <p><span lang="EN-US">The dataset used in this study is open source and available at </span><span lang="EN-US"><a href="https://github.com/tangsanli5201/DeepPCB"><span>https://github.com/tangsanli5201/DeepPCB</span></a></span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17909466
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle YOLOv8 Model for PCB Defect Detection
budak, izemnur
BAL, Sezen
Korkmaz, Hayriye
<p><span lang="EN-US">The dataset used in this study is open source and available at </span><span lang="EN-US"><a href="https://github.com/tangsanli5201/DeepPCB"><span>https://github.com/tangsanli5201/DeepPCB</span></a></span></p>
title YOLOv8 Model for PCB Defect Detection
url https://doi.org/10.5281/zenodo.17909466