Neural networks help scientists and snow leopards

Students from the School of Data Analysis (SHAD) and Yandex Cloud specialists have developed a neural network that recognizes snow leopards in photos and videos captured by camera traps. The network organizes the materials into folders. The neural network was trained using 40,000 photos. Previously, scientists had to manually review thousands of photos, which was time-consuming, but now the neural network can complete the task in a matter of seconds. This allows them to focus on preserving the population of these enchanting cats and tracking their migration routes.