Identify benthic supercategories in images
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MBARI Benthic Supercategory Object Detector is an object detection model designed to identify benthic supercategories in images. It specializes in recognizing and classifying benthic organisms, such as corals, fish, and other seabed-dwelling species, into broader taxonomic groups. This tool is particularly useful for marine biologists, researchers, and environmental scientists analyzing underwater imagery.
What are benthic supercategories?
Benthic supercategories are higher-level taxonomic groups used to classify benthic organisms, such as coral, fish, or sponges, providing a broader classification than individual species.
Can this detector work with real-time underwater video?
The MBARI Benthic Supercategory Object Detector is designed for image analysis but can be adapted for real-time video processing depending on the system's computational resources and setup.
How can I improve the accuracy of detections?
Accuracy can be improved by providing high-quality input images, ensuring proper lighting, and contributing feedback to the model's developers to refine its performance.