What do you do concretely for this direction? In this moment I work for species recognition in images. I collaborate with Naturalis Biodiversity Center and they have this app for mobile phones which you can use to take pictures. That is the first step: as a reward to the users, they get to know the name of the species. So we work on models in computer vision that can be good with common species and with rare species as well, to give the user the information about the species. For us it is important to get to know all the images from all around Europe. When giving you automatically the name of the species, the system can see the distribution and we can understand if some species are declining, or some species are moving. Also if we can relate with climate change. So you are not going to change the reality - you're just taking a photograph of what it is? My first rule is “don't touch anymore!” So how does it help? For now, we are using only images to help biologists understand - first of all - the distribution of species: it is really important to understand what is alive now. That means that in 10 years, if we do the same study for distribution, we can understand if something disappeared meanwhile. Then it could be too late! You know, extinction is also a normal process in nature. What is important is to understand if it's related to us, if it's our fault or if it's natural. We can also track the movement of species thanks to these systems, because when you do it with humans it takes ages. We have more than one million of images to analyze, to understand the species and having a machine learning model that can do that for us is saving a lot of time. Tell us about the computer vision in your work. In this work I'm using a different 21 DAILY WACV Monday Rita Pucci
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