Active Learning for Object Detection in High-Resolution Satellite Images

Imagine teaching a junior analyst to spot ships, planes, or vehicles in satellite photos. Instead of having experts label thousands of random images, the system keeps asking: “Which few images, if you label them next, will help me improve the most?” It then learns faster and cheaper to detect objects in very large, detailed satellite pictures.