We are temporarily pausing the project due to unforeseen circumstances, and will re-launch as soon as possible.
Also, this project recently migrated onto Zooniverse’s new architecture. For details, see here.
"Mark the Trees" is the perfect way to jump in, just look at the panoramic photo and draw boxes around all the clearly visible trees. That’s it! You don’t need any tree knowledge, just your eyes. It’s quick, simple, and a great place to start. There’s also a short tutorial and field guide to guide you through it in under a minute🌳
🌍 Every contribution supports smarter, greener cities and helps you see the trees around you in a whole new way. Thanks for being part of SilvaScope! 🌿✨
Chat with the research team and other volunteers!
Every click counts! Join Arbor Geo-Frame's community to complete this project and help researchers produce important results. Click "View more stats" to see even more stats.
Urban Forests are powerful climate tools but first, we must know what grows where. Your contributions help AI learn to identify tree species from everyday photo
FrancescoTrees are one of the most important parts of city life. They clean the air we breathe, cool our streets during heatwaves, reduce flooding, and support urban wildlife. They also bring beauty, calm, and connection to nature right outside our doors.
But for all their value, many cities lack accurate, up to date data on where trees are planted and what species they are. Without this information, it’s harder for communities to care for them, plan future planting, or understand how they’re contributing to urban health and climate resilience.
That’s where Arbor Geo-Frame comes in.
With your help, we’re building a powerful dataset to teach computers how to recognize and classify trees from images. We're using 360° panoramic street-level photos, the kind you might see when exploring a city on an online map to locate and identify trees growing along sidewalks and roadways.
Every box you draw and tree you label helps us train a computer vision model that can one day identify trees on its own at scale, and in real time. These models can support scientists, urban ecologists, and city planners as they work to make greener, healthier cities.
Whether you’re a tree expert or someone who loves nature, your clicks are making a real difference.
Thank you for helping us find the forest among the streets