AWS Developers | AWS ML Heroes in 15: Amazon Rekognition for Wildlife Conservation-AWS Machine Learning in 15 @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
"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: bearresearch.org
****To download a copy of the slide deck from this webinar visit: 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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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
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"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: bearresearch.org
****To download a copy of the slide deck from this webinar visit: 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:
youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: aws.amazon.com/what-is-aws
Twitch: twitch.tv/aws
Twitter: twitter.com/awsdevelopers
Facebook: facebook.com/amazonwebservices
Instagram: instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
