vlgiitr/Group-Level-Emotion-Recognition
Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge
This project helps researchers and developers automatically recognize the overall emotional state of a group of people from a single image. It takes an image as input and outputs a classification of the group's dominant emotion, such as happiness, sadness, or anger. This tool is useful for anyone analyzing crowd behavior or group dynamics, especially in fields like social science, marketing, or human-computer interaction.
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Use this if you need to understand the collective emotion displayed by multiple individuals in a photograph.
Not ideal if you need to analyze individual emotions within a group or require real-time video analysis.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 05, 2018
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