Interactive deep learning for animal conservation from above

Monitoring wildlife populations is a complex business, since it involves monitoring over large areas, with complex terrains and counting living animals that move (and can also be dangerous at close range). For all these reasons, as well as to increase frequency and reduce costs, Unmanned Aerial Vehicles (UAVs) are more and more used. UAVs indeed acquire large amounts of data, but then also raise the problem of detecting and counting the animals, in order to provide accurate counts, in an automatic way. In this talk, I will talk about how deep learning can help, especially when helped by enthusiastic nature lovers willing to screen images for protecting wildlife.