Grained Classification of Objects from Aerial Imagery | Robotics
In this competition, MAFAT DDR&D (Israel Directorate of Defense Research & Development) would like to tackle the challenge of automatically exploiting fine-grained information from aerial imagery data.
As the volume of imagery gathered by aerial sensors is rapidly growing, we understand that the exploitation of such data could not be achieved solely by a manual image analysis process. The competition’s objective is to explore automated solutions that will enable fine-grained classification of objects in high-resolution aerial imagery.
Participants goal is to detect and classify different objects found in high-resolution aerial imagery data. The classification includes fine-grained classification of sub-classes and unique features (Such as sunroof, color, air vents, etc.) Prizes:30,000 USD.