Broadcast Date: April 7, 2023
Level: 300
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
- Learn how we developed a web application using AWS Amplify Studio.
- Learn how we use serverless Lambda functions with Amazon Rekognition to automate our web application.
- Learn how we leveraged Amazon Rekognition and Amazon SageMaker to engage Explore.org viewers for human-in-the-loop machine learning.
Who Should Attend?
ML Engineers, ML Developers, Data Scientists, Cloud Engineers
Speaker(s)
Ed Miller, Senior Principal Engineer, Strategic Alliances Technical Marketing at Arm, Technical Lead at BearID, AWS ML Hero
Learn More
To learn more about the services featured in this talk, please visit:
bearresearch.org/
Intro body copy here about 2018 re:Invent launches.
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