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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- video-classification |
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- video-text-to-text |
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tags: |
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- video |
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- Facial Recognition |
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- Computer Vision |
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- Machine learning |
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- Emotion Recognition |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Video Dataset of Various Emotions for Recognition Tasks |
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Dataset comprises **1,000+** videos featuring **11** facial emotions and **15** inner emotions expressed by individuals from diverse backgrounds, including various races, genders, and ages. It is designed for **emotion recognition** research, focusing on **emotion detection** and emotion **classification** tasks. |
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By utilizing this dataset, researchers can explore advanced **emotion analysis** techniques and develop robust recognition models that can accurately identify and classify **facial expressions** and **emotional categories**. - **[Get the data](https://unidata.pro/datasets/video-emotion-recognition-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=video-emotion-recognition-dataset)** |
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The dataset includes a wide range of emotional expressions, allowing for comprehensive studies in emotion predictions and expression recognition. |
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# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/video-emotion-recognition-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=video-emotion-recognition-dataset) to discuss your requirements and pricing options. |
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## Metadata for the dataset |
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.png?generation=1741771741312300&alt=media) |
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Variables in .csv files: |
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- id: Unique identifier for each video |
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- inner_emotion: The inner emotion expressed in the video |
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- facial_emotion: The facial emotion displayed in the video |
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- transcript: Text transcription of the video's content |
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- video: Link to the original video |
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- text: Link to the transcription |
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The dataset contains videos that capture a variety of facial expressions and emotions, including both positive and negative emotions. Each video is annotated with detailed information about the emotions displayed, enabling researchers to conduct in-depth analyses and comparisons across different emotion categories. |
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# 🌐 [UniData](https://unidata.pro/datasets/video-emotion-recognition-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=video-emotion-recognition-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
