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Development of an underwater simulator which will be used for oysters detection for the project. Simulator can generate random underwater landscape, randomize oysters location and oysters count and much more. Using a range scanner installed on BlueROV for navigation.
The Billion Oyster Project Digital Platform captures oyster restoration data and supports restoration education with curriculum and tools for research.
Counts, sizes, and provides basic size metrics of objects in an image of a population sample. Designed for oblong objects on contrasting background. Windows, Linux, macOS
Through a tkinter GUI and using YOLO object detection, oystersiz.py can provide sample population size metrics for triploid Crassostrea virginica oysters at all stages of aquaculture production.