Wildbook applies computer vision algorithms and deep learning to identify and track individual animals 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 animals 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, looking for unique 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 size and migration to generate new insights and support rapid, data-driven conservation action.
We can identify individuals of these species using fully automated computer vision:
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and more soon!
1662 identified animals
19601 reported sightings
120 citizen scientists
248 researchers and volunteers
"Sperm whales roam so vastly that no one research group can study them across their range. PhotoID as a tool for conservation and research finds power in numbers and international, inter-institutional collaboration. Flukebook enables us to do this easily."
- Shane Gero, The Dominica Sperm Whale Project