Detection of Corals, Seagrass, and Seaweeds Using YOLOv9 Instance Segmentation with Image Augmentation

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Authors

Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.3.231-244
Citations
6
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
4.84
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article

Detection of Corals, Seagrass, and Seaweeds Using YOLOv9 Instance Segmentation with Image Augmentation

Ken Gorro
6 citations
Journal of Image and Graphics
Identification and Quantification in Food
4.84
article

Detection of Corals, Seagrass, and Seaweeds Using YOLOv9 Instance Segmentation with Image Augmentation

Ken Gorro
article en
6 citations

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and GraphicsVol. 13(3)
Life below water
Openalex Percentile: Top 5%
Identification and Quantification in Food
4.84
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Detection of Corals, Seagrass, and Seaweeds Using YOLOv9 Instance Segmentation with Image Augmentation — Ken Gorro · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS