Building a Winning Solution - Using AI to Help Identify and Track Whale Population

AWS Partner Capgemini has developed an intelligent data solution for marine biologist Lisa Steiner. The model is designed to accurately identify sperm whales using computer vision for image processing. The solution, the brainchild of a winning team during the Group’s annual Global Data Science Challenge (GDSC), uses Amazon Web Services (AWS) machine learning (ML) services to analyze thousands of photos of sperm whales and identify matches of the individual whales, helping Steiner to track migration routes, look at the social structure of the sperm whale groups, and protect the whales’ natural habitats. Capgemini’s GDSC is a group-wide internal competition where hundreds of employees from all over the world compete in small teams to address real world challenges using artificial intelligence (AI).

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