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PosidoTech — Automatic Detection of Posidonia oceanica using VGG16-FCN8 Deep Learning Model

Domaine:

environment and energygeospatial

Type de record:

modelsoftware
Créateur:
Med
Éditeur:
Zenodo
Hôte:avatar

AI platform for automatic detection and mapping of  Posidonia oceanica seagrass meadows using semantic segmentation (VGG16-FCN8). Accuracy: 96.24%. Marine Biology & Fisheries Laboratory, USTHB.

Visit

doi.org

Tasks

computer visionimage classification

Tags

Posidonia oceanica, seagrass, deep learning, VGG16, FCN8, semantic segmentation, marine biology, Algeria, Mediterranean

Licenses

info:eu-repo/semantics/restrictedAccess

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