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@geoaihub

GeoAI Hub Mersin

Welcome to GeoAI Hub Mersin, where the realms of Artificial Intelligence (AI) and GeoScience converge to shape the future of exploration and understanding.

GeoAI Hub Mersin

Welcome to GeoAI Hub Mersin, where the realms of Artificial Intelligence (AI) and GeoScience converge to shape the future of exploration, understanding, and innovation.

🌍 Our Mission

At GeoAI Hub Mersin, we are driven by a passionate commitment to harness the power of AI in conjunction with GeoScience to unravel the mysteries of our planet. Our mission is to advance scientific knowledge, promote sustainable practices, and foster collaboration between the worlds of AI and GeoScience.

🚀 Key Initiatives

  • AI-Driven Earth Exploration: Leveraging cutting-edge AI technologies to analyze, model, and interpret complex GeoScience data for a deeper understanding of Earth's dynamics.

  • Innovative Geospatial Solutions: Developing and implementing innovative geospatial solutions that address real-world challenges, from environmental monitoring to urban planning.

  • Community Engagement: Building a vibrant community of researchers, scientists, and enthusiasts to share knowledge, exchange ideas, and propel the frontiers of GeoAI.

🔬 Current Projects

Explore some of our ongoing projects that exemplify the fusion of AI and GeoScience:

🌐 Connect With Us

Stay updated on our latest developments, research findings, and community activities:

Join us on this exciting journey at the intersection of AI and GeoScience. Together, let's chart new territories and pave the way for a smarter, more sustainable future.


GeoAI Hub Mersin

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  1. GeoAdvances-EQ-Scene-Classification-2023-Kahramanmaras GeoAdvances-EQ-Scene-Classification-2023-Kahramanmaras Public

    This repository houses a comprehensive deep learning-based system for the scene classification of very high-resolution satellite imagery, focusing on post-earthquake damage assessment. The primary …

    Jupyter Notebook 3 2

  2. IGARSS-EQ-Object-Detection-YOLO-Kahramanmaras IGARSS-EQ-Object-Detection-YOLO-Kahramanmaras Public

    The study uses YOLO models on satellite imagery to detect collapsed buildings in Antakya after the 2023 Türkiye earthquake, achieving good results with YOLOv7 but highlighting challenges.

    Jupyter Notebook 1

  3. InferenceVision InferenceVision Public

    Forked from doguilmak/InferenceVision

    Provide geographic coordinates from bounding boxes.

    Jupyter Notebook

  4. GeoTalks GeoTalks Public

    GeoTalks kapsamında, yapay zeka (AI) ve açıklanabilir yapay zeka (XAI) alanlarında yapılan çalışmaları içermektedir.

    Jupyter Notebook 1

Repositories

Showing 6 of 6 repositories
  • GeoTalks Public

    GeoTalks kapsamında, yapay zeka (AI) ve açıklanabilir yapay zeka (XAI) alanlarında yapılan çalışmaları içermektedir.

    geoaihub/GeoTalks’s past year of commit activity
    Jupyter Notebook 1 MIT 0 0 0 Updated Dec 30, 2024
  • IGARSS-EQ-Object-Detection-YOLO-Kahramanmaras Public

    The study uses YOLO models on satellite imagery to detect collapsed buildings in Antakya after the 2023 Türkiye earthquake, achieving good results with YOLOv7 but highlighting challenges.

    geoaihub/IGARSS-EQ-Object-Detection-YOLO-Kahramanmaras’s past year of commit activity
    Jupyter Notebook 0 MIT 1 0 0 Updated Dec 24, 2024
  • .github Public

    About GeoAI Hub

    geoaihub/.github’s past year of commit activity
    0 0 0 0 Updated Dec 8, 2024
  • InferenceVision Public Forked from doguilmak/InferenceVision

    Provide geographic coordinates from bounding boxes.

    geoaihub/InferenceVision’s past year of commit activity
    Jupyter Notebook 0 GPL-3.0 1 0 0 Updated Nov 10, 2024
  • geoaihub Public

    Assets related with our organization.

    geoaihub/geoaihub’s past year of commit activity
    0 0 0 0 Updated Apr 2, 2024
  • GeoAdvances-EQ-Scene-Classification-2023-Kahramanmaras Public

    This repository houses a comprehensive deep learning-based system for the scene classification of very high-resolution satellite imagery, focusing on post-earthquake damage assessment. The primary case study involves the devastating earthquakes that occurred in Kahramanmaraş province, Türkiye, in 2023.

    geoaihub/GeoAdvances-EQ-Scene-Classification-2023-Kahramanmaras’s past year of commit activity
    Jupyter Notebook 3 GPL-3.0 2 0 0 Updated Mar 21, 2024

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