Applicability of Object Detection to Microfossil Research: Implications From Deep Learning Models to Detect Microfossil Fish Teeth and Denticles Using YOLO‐v7

Applicability of Object Detection to Microfossil Research: Implications From Deep Learning Models to Detect Microfossil Fish Teeth and Denticles Using YOLO‐v7

Abstract Microfossils of fish teeth and denticles, referred to as ichthyoliths, provide critical information for depositional ages, paleo‐environments, and marine ecosystems, especially in pelagic realms. However, owing to their small size and rarity, it is time‐consuming and difficult to analyze la...

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Bibliographic Details
Main Authors: K. Mimura, K. Nakamura, K. Yasukawa, E. C. Sibert, J. Ohta, T. Kitazawa, Y. Kato
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-01-01
Series:Earth and Space Science
Subjects:
machine learning
deep learning
object detection
microfossil
ichthyolith
Online Access:https://doi.org/10.1029/2023EA003122

Internet

https://doi.org/10.1029/2023EA003122

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