AWS ML Heroes in 15: Amazon Rekognition for Wildlife Conservation-AWS Machine Learning in 15

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Published Feb 20, 2025

"Object detection is a key computer vision technique for analyzing image and video content. However, building a dataset and training models for object detection is time consuming. Amazon Rekognition offers pre-trained models for many vision applications, including object detection.

In this webinar you'll learn how we used Amazon Rekognition as a bear detector to quickly implement the first stage in our Bearcam Companion machine learning pipeline. After collecting data for a season and engaging the Bearcam viewers to help label the data, we trained an improved bear detection model using Amazon Rekognition Custom Labels."

Learning Objectives:
* Objective 1: Learn how we integrated Amazon Rekognition with an Amplify application.
* Objective 2: Learn how we use a serverless Lambda function with Amazon Rekognition to automate bear detection.
* Objective 3: Learn how we engaged bearcam viewers and Amazon Rekognition Custom Labels to improve the bear detector.

***To learn more about the services featured in this talk, please visit: https://bearresearch.org/
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/AWS-ML-Heroes-in-15-Amazon-Rekognition-for-Wildlife-Conservation_2023_SN-0804-MCL_OD Subscribe to AWS Online Tech Talks On AWS:
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