A Chinese military research team has released what it described as the first publicly available visible light-infrared ship detection data set, a resource that could sharpen maritime target recognition for drones, missiles or surveillance systems operating at night or in environments where radar is degraded or suppressed. The dual-modal ship detection (DMSD) data set contains more than 2,000 paired visible and infrared vessel images and nearly 20,000 annotated instances, according to the peer-reviewed study published in January by the Chinese-language Journal of Radars. Ship recognition at sea is markedly harder…
China opens world’s largest ship data set that could be used to train drones
