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Emotion recognition Dataset

Dataset comprises 199,955 images featuring 28,565 individuals displaying a variety of facial expressions. It is designed for research in emotion recognition and facial expression analysis across diverse races, genders, and ages.

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

Examples of data

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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Metadata for the dataset

Researchers can leverage this dataset to explore various learning methods and algorithms aimed at improving emotion detection and facial expression recognition.

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