Datasetpublic

UniqueData/facial-emotion-recognition-dataset

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. 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.

sourceHugging Facecc-by-nc-nd-4.0updated 1y agoView on Hugging Face

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Facial Emotion Recognition Dataset

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.

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.

The dataset's possible applications:

—automatic emotion detection
—mental health analysis
—artificial intelligence (AI) and computer vision
—entertainment industries
—advertising and market research
—security and surveillance

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Content

—images: includes folders corresponding to people and containing images with 8 different impersonated emotions, each file is named according to the expressed emotion
—.csv file: contains information about people in the dataset

Emotions in the dataset:

—anger
—contempt
—disgust
—fear
—happy
—sad
—surprised

File with the extension .csv

includes the following information for each set of media files:

—set_id: id of the set of images,
—gender: gender of the person,
—age: age of the person,
—country: country of the person

Images for facial emotion recognition might be collected in accordance with your requirements.

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