Wildbook for Amphibians and Reptiles

Machine Learning & Citizen Science & Conservation Research

Amphibian and Reptile Wildbook applies computer vision algorithms and deep learning to identify and track individual amphibians and reptiles 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.

Step 1. Deep Learning Finds Animals

We train computer vision to find individual amphibians and reptiles in photos and identify the species.

Step 2. Algorithms and Neural Networks Identify Individuals

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 body coloration or fin edges. We replace hours of human labor with just a few minutes of computer vision, scanning for matches across tens of thousands of photos.

Step 3. Population Dynamics Define Conservation Action

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.

One Platform, Many Species, Many Researchers

We can identify individuals of these species using fully automated computer vision:

46528 identified amphibians and reptiles

57300 reported sightings

94 citizen scientists

181 researchers and volunteers