Concept-based explanations of Segmentation and Detection models in Natural Disaster Management

1. 1Identify the need for transparency in deep learning models for natural disaster management
2. 2Develop an explainability framework for segmentation and detection models
3. 3Apply the framework to flood segmentation and car detection predictions
4. 4Evaluate the effectiveness of the framework in improving human trust and emergency response

Data scientists and AI engineers on a team benefit from this research as it provides transparency into the decision-making process of deep learning models, enabling more effective emergency response

💡 Explainability frameworks can increase human trust in deep learning models for emergency response

🌪️ Explainable AI for natural disaster management! 💡