Cuando se produce una catástrofe, es importante saber lo antes posible cuántas personas están afectadas, dónde viven y la gravedad de los daños, para planificar adecuadamente las operaciones de respuesta.

The Automated Damage Assessment tool (ADA) is a deep learning model that identifies damaged buildings in satellite images after a disaster has happened. Automating this assessment makes it faster and far less dependent on human effort, therefore enabling 510 to quickly deliver the information that is needed. El tiempo de evaluación disminuye de semanas a horas, lo que marca la diferencia en la rapidez de las operaciones y, en última instancia, en el número de vidas que pueden salvarse.

“I found ADA to be very helpful in terms of getting an initial understanding of the situation. By using AI-assisted satellite damage tools, we were able to notice areas that were highlighted in multiple models and on-the-ground data to help us determine which version was likely to be the most accurate.” 

Corey Dickinson, Data Consultant at IFRC