JAFFE Dataset
JAFFE Dataset
Datasets
JAFFE Dataset
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JAFFE Dataset
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JAFFE Dataset
Description
Explore the JAFFE Dataset, featuring 215 grayscale images of 10 Japanese female models displaying 7 universal facial expressions. Perfect for AI training, emotion detection, and facial recognition projects.
Description:
The JAFFE Dataset (Japanese Female Facial Expression Dataset) is a widely-used collection of 215 grayscale facial images (256×256 resolution) featuring 10 Japanese female models. It includes 7 universal facial expressions: Anger, Disgust, Fear, Happiness, Neutral, Sadness, and Surprise. Released in 1997, this dataset is ideal for facial emotion recognition, human-computer interaction, and AI training.
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The JAFFE Dataset (Japanese Female Facial Expression Dataset) is a renowned dataset widely used in machine learning, computer vision, and facial expression recognition research. It features grayscale images of facial expressions posed by Japanese female models, making it an essential resource for academic and commercial AI development.
Key Features of the JAFFE Dataset
- Release Year: 1997
- Total Images: 215 high-quality facial images
- Image Resolution: 256×256 pixels (grayscale)
- Subjects: 10 Japanese female models
- Facial Expressions/Classes: 7 primary expressions
- File Format: .jpg
The dataset is ideal for tasks like emotion detection, human-computer interaction, and facial expression classification, providing diverse and clearly labeled images.
Seven Facial Expression Classes in JAFFE
The dataset includes images categorized into the following universal expressions:
- Anger (AN)
- Disgust (DI)
- Fear (FE)
- Happiness (HA)
- Neutral (NE)
- Sadness (SA)
- Surprise (SU)
These classes are carefully curated to represent a wide range of human emotions, allowing researchers to train and test robust models.
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