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Emotion classification in images using Amazon's Rekognition API
1 online resource (1 video file (00:30:53)) : sound, colour
Michael Bossetta, PhD, assistant professor of Communication and Media at Lund University, discusses and demonstrates emotion classification in images with Amazon's Rekognition API using the Pykognition tool, including how to install, how the script works, how confidence thresholds work, validation, and limitations.
Chapter 1: Michael Bossetta Discusses Image Analysis, Emotion Research, and Facial Action Codingicon angle down -- Chapter 2: Michael Bossetta Provides an Overview of Amazon's Recognition API and the Pykognition Toolicon angle down -- Chapter 3: Michael Bossetta Demonstrates How to Install the Pykognition Toolicon angle down -- Chapter 4: Michael Bossetta Explains the Script to Run Rekognition and Pykognitionicon angle down -- Chapter 5: Michael Bossetta Demonstrates Working With Images and Confidence Thresholds Using Pykognition and Rekognition Softwareicon angle down -- Chapter 6: Michael Bossetta Discusses the Pykognition Tool Spreadsheeticon angle down -- Chapter 7: Michael Bossetta Discusses Validation and Limitations of the Pykognition Tool and the Rekognition API for Emotion Classification in Images.
Includes bibliographical references and index.
Human face recognition (Computer science)