Emotion classification in images using Amazon's Rekognition API.

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, validat...

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Bibliographic Details
Other Authors:	Bossetta, Michael (academic.)
Format:	Video
Language:	English
Language Notes:	Closed-captioned in English.
Published:	London : SAGE Publications, Ltd., 2022.
Subjects:	Image analysis > Computer programs. Gesture recognition (Computer science) Human face recognition (Computer science) Analyse d'images > Logiciels. Reconnaissance faciale (Informatique)
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.