CAGEY (CArbonate Grain Estimation with YOLO): Object detection for grain size, roundness, and dunham classification

Accurate grain size and roundness analysis is crucial for geological applications such as paleoenvironmental reconstructions or reservoir characterization, but traditional manual methods are time-consuming and prone to error. In this study, we introduce the CAGEY (CArbonate Grain Estimation with YOL...

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Váldodahkkit:	Bingxuan Liu, Haifa AlSalmi, Cédric M. John
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Elsevier 2026-02-01
Ráidu:	Applied Computing and Geosciences
Fáttát:	Carbonate grain Object detection YOLOv5s Lithology classification Core images Deep learning
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S2590197426000133
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