Fin Spotter applies computer vision algorithms and deep learning to identify and track individual sharks across hundreds of thousands of photos. We help researchers collaborate with each other and citizen scientists contribute to the effort. A.I. scales and speeds research and conservation.
We train computer vision to find individual sharks in photos and identify the species.
When we know where each animal is, we can identify them individually using algorithms that make digital "fingerprints" for each animal, such as identifying them by their unique spot or stripe patterning. 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 dynamics to generate new insights and support rapid, data-driven conservation action.
and more soon!
67 identified sharks
71 reported sightings
7 citizen scientists
If you are not on site, there are still other ways to get engaged
Donations, including in-kind, large or small, are always welcome. Your support helps the continued development of our project and can support effective, science-based conservation management, and safeguard these sharks and their habitat.Learn more about how to donate