This thesis presents the research and experimentation carried out for the task of detecting small vessels and shipwrecked people in seaborne environments. We aim to precisely provide a real-time detection on changing conditions with a significant scale variance on the detections. In order to achieve this goal, different deep learning techniques on diverse datasets have been tested.