Understanding the marine environment is a key component to a more sustainable Earth. Technologies to automate data collection and analysis of the marine environment are necessary. Underwater cameras and AI (here in the form of computer vision algorithms) are predicted to play major roles in this regards. This research project takes its starting point in a recently established underwater camera setup that captures video in various conditions. The project aim is an underwater computer vision system that can estimate the visibility, prune the massive amounts of video so only images containing marine organism remains, and finally classify the marine organisms. The hypotheses are that the visibility can be estimated based on 3D distance estimates of objects and abnormalities found by analyzing 3D motion patterns of image features as they move through the water. Lastly the project investigates how automatic vs semi-automatic deep learning algorithms can be developed for this problem domain