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Facial Emotion Images

Dataset Summary

facial_emotion_images contains 15,109 grayscale facial images categorized into four distinct facial expressions: happy, neutral, sad, and surprise. It is structured for image classification and emotion recognition tasks.

Dataset Structure

Data Fields

  • image: PIL Image object containing the cropped face photo.
  • label: Class label corresponding to the emotion expression.

Class Labels & Previews

Index Label Preview
0 happy Happy
1 neutral Neutral
2 sad Sad
3 surprise Surprise

Usage

Load the dataset directly using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("gabriellidenor/facial_emotion_images")
print(dataset['train'][0])
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