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+
-
- facial emotions
- 11
-
- 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
-
- Distribution by ethnicity
-
- 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.
-
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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Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.
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Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.
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