Oysters are the living vacuum cleaners of the oceans. There is an exponential
decline in the oyster population due to over-harvesting. With the current
development of the automation and AI, robots are becoming an integral part of
the environmental monitoring process that can be also utilized for oyster reef
preservation. Nevertheless, the underwater environment poses many difficulties,
both from the practical - dangerous and time consuming operations, and the
technical perspectives - distorted perception and unreliable navigation. To
this end, we present a simulated environment that can be used to improve oyster
reef monitoring. The simulated environment can be used to create
photo-realistic image datasets with multiple sensor data and ground truth
location of a remotely operated vehicle(ROV). Currently, there are no
photo-realistic image datasets for oyster reef monitoring. Thus, we want to
provide a new benchmark suite to the underwater community