Model Garden
Welcome to the Model Garden, a curated collection of machine learning models designed for seabed image analysis. Here, you can explore various models that have been developed to classify and analyze marine environments. Each model comes with a detailed description, example inputs and outputs, and metadata to help you understand its capabilities and use cases.
Browse through the models below to find the one that best suits your research or project needs. Click on a model to view more details and see it in action.
CSIRO Patch-based 8-class Morphology Model
A patch-based segmentation model designed for seagrass morphological class identification and habitat mapping. The model segments images into fixed-size patches (e.g., 280×280 pixels) and classifies each patch into foreground classes (various seagrass species) or background classes (such as substrate, coral, and macroalgae). Morphological seagrass coverage is quantified by calculating the percentage of patches classified into each class, enabling precise assessments of seagrass distribution and density.
JCU Seagrass Coverage Model
A computer vision model designed to classify seagrass coverage from subtidal images into 3 cover categories : low seagrass cover (≥3 <10%), medium seagrass cover
(≥10 <30%), and high seagrass cover (≥30%). The percent coverage used as reference is from Seagrass-Watch percent cover standards on a 50x50cm quadrat. Please only use the model on images with at least 3% seagrass cover.
JCU Seagrass Morphology Model
A computer vision model designed to identify the presence of specific seagrass species morphologies from subtidal images. The morphologies identified are : oval, strappy, ferny and cylindrical. Please only use the model on images with at least 3% seagrass cover.
JCU Seagrass PA (Presence/Absence) Model
A computer vision model designed identify the presence of seagrass from subtidal images. The percent coverage used as reference is from Seagrass-Watch percent cover standards on a 50x50cm quadrat. Please only use the model on images with at least 3% seagrass cover.