  We are losing biodiversity at an unprecedented scale and in many cases, we do
not even know the basic data for the species. Traditional methods for wildlife
monitoring are inadequate. Development of new computer vision tools enables the
use of images as the source of information about wildlife. Social media is the
rich source of wildlife images, which come with a huge bias, thus thwarting
traditional population size estimate approaches. Here, we present a new
framework to take into account the social media bias when using this data
source to provide wildlife population size estimates. We show that,
surprisingly, this is a learnable and potentially solvable problem.
