SAC Hall 3, College Ring, Bremen, 28759
Constructor University - Bremen, Germany
The Urban Green Space Mapping Challenge in the Machine Learning Olympiad invites participants to leverage satellite imagery and machine learning to automatically identify and delineate green spaces within urban areas. With access to a dataset of labeled satellite images, participants develop models to accurately segment and quantify urban green spaces, supporting efforts to enhance urban planning.
Join us for a groundbreaking challenge as art of the Build it With AI series - the Urban Green Space Mapping Challenge! This unique competition calls on machine learning enthusiasts, data scientists, and environmental advocates to employ the power of satellite imagery and advanced machine learning techniques to identify and map green spaces within urban landscapes.
Whether you're a seasoned data scientist, a machine learning aficionado, or someone passionate about urban ecology, this challenge presents a perfect opportunity to make a tangible impact. By participating, you'll be at the forefront of technology-driven solutions aimed at creating more livable, green, and sustainable urban environments.
Get ready to harness the power of technology for good, dive into the world of satellite imagery, and leave your mark on the future of urban planning. Sign up for the Urban Green Space Mapping Challenge today and be part of a community committed to making a difference!
March 15 – April 15, 2024
10:00 AM – 2:00 PM UTC
GDSC Lead
BayWa r.e.
GDSC Lead
New Work SE (XING)
GDSC Mentor
Competitive Programming Lead
Technical Lead
Technical Lead
Technical Lead
Technical Team Member
Google Developer Student Club
Project Management Lead
ResQme
Project Management Lead
Business Lead
Business Lead
Google Developers Student Club
Marketing Lead
Constructor University
Lead Mentor
Contact Us