firojalam/medic
Multi-Task Learning for Disaster Image Classification using MEDIC
This project helps humanitarian organizations and first responders quickly assess disaster situations by automatically classifying images. You input photos from disaster zones, and the system categorizes them to identify critical needs like damaged infrastructure or aid requests. Emergency response coordinators, relief workers, and NGOs would find this tool valuable for rapid situational awareness.
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Use this if you need to automatically sort and understand large volumes of images coming from disaster areas to inform response efforts.
Not ideal if you require real-time, ultra-low latency image processing or need to classify images outside of disaster-related contexts.
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25
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2
Language
Python
License
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Last pushed
Sep 10, 2021
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