fbpx Tree identification - Omdena

Identifying trees on satellite images

Be part of our Collaborative Online Challenge to apply and improve your skill set in a real-world project.

You are an aspiring junior data scientist, machine learning engineer, or computer science student? Then apply to build a model for tree identification on satellite images. The solution will prevent power outages and fires sparked by falling trees and storms. This will save lives, reduce CO2 emissions, and improve infrastructure inspection.

Requirements:
  • Good English and access to a computer with internet
  • A good/very good grasp in computer science and/or mathematics
  • Student, junior developer or a developer who is changing the work field
  • Programming experience with C/C++, C#, Java, Python, Javascript or similar
  • Understanding of ML and Deep learning algorithms.
  • Passed or started an online course in machine learning/deep learning.
  • Availability of around 7-15 hours a week.

    Day to day activities will include:
  • Engaging in image analysis and data preprocessing
  • Working on deep learning algorithms
  • Collaborating and learning with like-minded people

    Your benefits:
  • Working with world-class AI mentors and domain experts
  • Being part of a driven and supportive community of collaborators
  • Learning and sharing your knowledge within the community of AI enthusiasts
  • Certificates of participation and references
  • Being featured on our website and blog as an active member

    After the successful completion of the challenge and a unique learning experience, the project community will receive a collective and collaboration-based price money of 3000 USD.

    Community Member (Tree Identification)