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@@ -17,8 +17,18 @@ Dataset comprises **199,955** images featuring **28,565** individuals displaying
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  By utilizing this dataset, researchers and developers can enhance their understanding of **facial recognition** technology and improve the accuracy of **emotion classification** systems. - **[Get the data](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset)**
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  This dataset includes images that capture different emotions, such as happiness, sadness, surprise, anger, disgust, and fear, allowing researchers to develop and evaluate recognition algorithms and detection methods.
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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/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset) to discuss your requirements and pricing options.
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  ## Metadata for the dataset
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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F8cfad327bf19d7f6fad22ae2cc021a5b%2FFrame%201%20(2).png?generation=1740432926933026&alt=media)
 
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  By utilizing this dataset, researchers and developers can enhance their understanding of **facial recognition** technology and improve the accuracy of **emotion classification** systems. - **[Get the data](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset)**
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  This dataset includes images that capture different emotions, such as happiness, sadness, surprise, anger, disgust, and fear, allowing researchers to develop and evaluate recognition algorithms and detection methods.
 
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+ # Frequently Asked Questions
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+ ## Who can benefit from this facial expression recognition dataset?
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+ The dataset is valuable for AI researchers, computer vision engineers, animation developers, speech technology teams, and organizations building digital humans or virtual assistants. Its combination of emotional video recordings, speech clips, and demographic metadata supports applications such as facial expression recognition, AI avatar generation, emotion-aware conversational systems, identity verification, and multimodal machine learning.
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+ ## How was the dataset collected?
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+ The dataset was collected through crowdsourcing platforms, enabling recordings from multiple individuals rather than a single studio environment."
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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/ai-avatar/?utm_source=huggingfac&utm_medium=referral&utm_campaign=facial-expression-recognition-dataset) to discuss your requirements and pricing options.
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  ## Metadata for the dataset
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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F8cfad327bf19d7f6fad22ae2cc021a5b%2FFrame%201%20(2).png?generation=1740432926933026&alt=media)