Video Emotion Recognition Dataset
This dataset comprises video recordings of 1,003 participants with 11 facial emotions and 15 inner emotions, including MP4 files and JSON annotations (ID, emotions, timestamps, transcripts), designed for face emotion recognition, expression analysis, and computer vision tasks such as emotion classification, sentiment analysis, and human emotion detection systems.
-
- people
- 1,000+
-
- facial emotions
- 11
-
- inner emotions
- 15
- Facial Recognition
- Computer Vision
- Machine learning
- Emotion Recognition
This dataset comprises video recordings of 1,003 participants with 11 facial emotions and 15 inner emotions, including MP4 files and JSON annotations (ID, emotions, timestamps, transcripts), designed for face emotion recognition, expression analysis, and computer vision tasks such as emotion classification, sentiment analysis, and human emotion detection systems.
- 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 |
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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 |
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