AWS Heroes in 15: Bear Conservation with ML, Serverless and Citizen Science

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Published Feb 20, 2025

The BearID Project develops machine learning applications to identify individual bears for their study and conservation. However, supervised machine learning requires significant time and expertise to curate a suitable dataset. Citizen scientists, such as the thousands of viewers of Explore.org’s live bear cams, can help fill this gap. Learn how we developed a web application using AWS Amplify Studio, Amazon Rekognition and Amazon SageMaker to engage Explore.org viewers for human-in-the-loop machine learning.

Learning Objectives:
* Objective 1: Learn how we developed a web application using AWS Amplify Studio.
* Objective 2: Learn how we use serverless Lambda functions with Amazon Rekognition to automate our web application.
* Objective 3: Learn how we leveraged Amazon Rekognition and Amazon SageMaker to engage Explore.org viewers for human-in-the-loop machine learning.

***To learn more about the services featured in this talk, please visit: https://bearresearch.org/
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