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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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- image-classification |
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- image-to-image |
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language: |
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- en |
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tags: |
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- code |
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--- |
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# Facial Emotion Recognition Dataset |
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The dataset consists of images capturing people displaying **7 distinct emotions** (*anger, contempt, disgust, fear, happiness, sadness and surprise*). Each image in the dataset represents one of these specific emotions, enabling researchers and machine learning practitioners to study and develop models for emotion recognition and analysis. |
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The images encompass a diverse range of individuals, including different *genders, ethnicities, and age groups*. The dataset aims to provide a comprehensive representation of human emotions, allowing for a wide range of use cases. |
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### The dataset's possible applications: |
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- automatic emotion detection |
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- mental health analysis |
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- artificial intelligence (AI) and computer vision |
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- entertainment industries |
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- advertising and market research |
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- security and surveillance |
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# Get the Dataset |
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### This is just an example of the data |
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Contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset |
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# Content |
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- **images**: includes folders corresponding to people and containing images with 8 different impersonated emotions, each file is named according to the expressed emotion |
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- **.csv** file: contains information about people in the dataset |
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### Emotions in the dataset: |
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- anger |
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- contempt |
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- disgust |
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- fear |
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- happy |
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- sad |
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- surprised |
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### File with the extension .csv |
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includes the following information for each set of media files: |
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- **set_id**: id of the set of images, |
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- **gender**: gender of the person, |
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- **age**: age of the person, |
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- **country**: country of the person |
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# Images for facial emotion recognition might be collected in accordance with your requirements. |
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** |
