Earthquake Quick Damage Detection using Computer Vision (Turkey-Syria Earthquake Data)
This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by Ankara, Turkey Chapter.
The problem
The reaction time to the latest earthquake was not sufficient, and the rescue teams had to reach many locations in a very short time. Due to the electric shortage in the area, communication was problematic for damage assessment. Thus, a fast-responding AI model is planned to be used to aid rescue operations planning. This model will detect earthquake damage according to the latest satellite images provided by online service providers. The damage search will include building damage, road damage, and terrain changes. Also, these changed areas on the map will mark the changes’ locations and classify these changes as building, road, or terrain. The model is planned to use mainly Turkey-Syria Earthquake data.
The goals
- Develop a model with functions to find the changed locations after a catastrophic earthquake.
- Employ cutting-edge technologies like computer vision and deep learning techniques to improve the speed and accuracy of detecting damage and responding.
- Give the model functionality to classify different types of damages such as building, road, terrain change, etc.
- (Optional) Develop an API for the model.
Why join? The uniqueness of Omdena Local Chapter Challenges
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
First Omdena Local Chapter Challenge?
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
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