What to Build

In this Hackathon, your mission is to harness the power of foundation models to produce high-resolution, detailed maps from aerial imagery. Here's what you'll need to focus on:

1. High-Resolution Mapping:
   • Goal: Create detailed, accurate maps from aerial imagery.
   • Scope: Focus on urban planning, environmental monitoring, and other real-world applications where high-resolution mapping can make a difference.
2. Model Selection & Fine-Tuning:
   • Choice: Select a foundation model that best fits the task—whether it’s a transformer, CNN, or any other advanced architecture.
   • Customization: Fine-tune your chosen model using the curated datasets we provide to enhance its performance for your specific mapping task.
3. Data Integration:
   • Training Data: Utilize our comprehensive training dataset to teach your model.
   • Testing Data: Validate your model's accuracy and efficiency with our testing dataset.
4. Impact & Usability:
   • Real-World Applications: Think about how your project can be applied in real-world scenarios. Highlight its potential impact on industries like agriculture, urban development, disaster response, and more.
   • Scalability: Ensure your solution is scalable and can handle large datasets efficiently.

What to Submit

• Performance Metrics: An analysis of your model’s performance, including accuracy, speed, and any other relevant metrics.
• High-Resolution Maps: The final output maps generated by your model.
• Demo/Pitch Video: A short video demonstrating your project's capabilities and showcasing its features.
• Source Code: A repository containing all the code used in your project, with clear instructions on how to run it.