Street trees are a crucial part of healthy cities. They improve air quality, reduce heat, support biodiversity, and make our neighbourhoods more pleasant to live in. But many cities don't have detailed, up to date maps of where their trees are or what kinds of trees grow there.
At Arbor Geo-Frame, we want to help change that, using the power of Citizen Science and Artificial Intelligence (AI) through Computer Vision.
By drawing boxes around trees and selecting their species, you’re helping us:
- Build a training dataset for AI-based tree detection.
- Improve automated urban forest mapping tools.
- Support researchers, city planners, and environmental projects that rely on accurate tree data.
Your contributions will go into a system that can one day map trees across entire cities, automatically, saving time, money, and helping communities thrive.
Benefits to self
Volunteer remotely to fit in with your work and studies.
Benefits to others
Your contributions will go into a system that can one day map trees across entire cities, automatically, saving time, money, and helping communities thrive.
Location
Remote Virtual Volunteering
- Activity AreaAnthropology/Geography, Conservation, Data Analysis, Environmental and Conservation, Science/Research, Sustainability, Virtual Volunteering, Remote Volunteering
- Employability Skills within ActivityAdministration/Office Skills, Project Research, Critical Thinking, Decision Making, Digital, IT, Technology, Feedback and Evaluation, Problem Solving
- FacultyBusiness and Law, Health, Environment and Medical Sciences, Media, Science and Technology
- Sustainable Development GoalsLife on Land, Responsible Consumption & Production, Sustainable Cities and Communities
Employability skills
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Administration/Office Skills
0
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Digital Skills
0