Video Emotion Recognition Dataset
The dataset contains videos of various facial and inner emotions from 1000+ people of different races, genders, and ages.
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- people
- 1,000+
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- facial emotions
- 11
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- inner emotions
- 15
- Facial Recognition
- Computer Vision
- Machine learning
- Emotion Recognition
-
- people
- 1,000+
-
- facial emotions
- 11
-
- inner emotions
- 15
Dataset Info
| Characteristic | Data |
| Description | Video of people for emotion recognition |
| Data types | Video |
| Tasks | Emotion recognition, Computer Vision |
| Number of people | 1,003 |
| Number of facial emotions | 11 |
| Number of inner emotions | 15 |
| Labeling | Metadata (ID, facial and inner emotions, start & end timestamp, transcript) |
| Gender | Male, Female |
| Ethnicity | Asian, Caucasian, African |
| Age | Young people, middle-aged, old-aged |
Statistics
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- Distribution by ethnicity
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- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Video extension | mp4 |
| Extension of annotation file | json |
| Accuracy of text transcription | is over 85% |
| Device | Camera or smartphone |
Industries
Entertainment Industry:
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Audience Engagement:
Analyzing viewer emotions during films and shows to tailor content and enhance viewer satisfaction.
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Gaming:
Implementing emotion recognition to create immersive gaming experiences that adapt to players’ emotional responses.
E-commerce and Retail:
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Consumer Insights:
Utilizing emotional analysis to gauge audience reactions to advertisements, allowing for more effective marketing strategies.
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