We train computer vision to find individual animals in photos and we identify the species.
When we know where each animal is in the picture, we can identify them individually using algorithms that make digital "fingerprints" for each animal, such as identifying them by their unique body shape, coloration or patterns. We replace hours of human labor with just a few minutes of computer vision, scanning for matches across tens of thousands of photos.
If we can quickly track individuals in a population, we can model population size and movement to generate new insights and support rapid, data-driven conservation action.