How can this dataset be used in AI and machine learning?

The dataset is ideal for training AI models in emotion recognition, behavioral analytics, human-computer interaction, and surveillance systems requiring mood detection capabilities.

Does GTS offer custom emotion datasets or annotation services?

Yes. GTS provides custom data collection and annotation for facial emotion datasets, with options to include varied ages, ethnicities, and regional diversity to meet specific AI project requirements.

How does GTS ensure dataset quality and compliance?

All datasets undergo a strict multi-stage quality control process and adhere to GDPR, HIPAA, and ISO 9001:2015 & ISO 27001:2013 standards, ensuring ethical sourcing and high annotation accuracy.

In what formats is the dataset available for download?

The dataset is available in formats like JSON, CSV, and image folders with labeled metadata, compatible with popular machine learning frameworks and computer vision pipelines.

Child and Adult Emotions: Basic Mood Recognition

Q: What is the Child and Adult Emotions: Basic Mood Recognition Dataset?

It is a diverse dataset featuring high-quality images of children and adults expressing basic moods like happiness, sadness, and seriousness. The dataset supports emotion recognition and affective computing research in AI.

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Child and Adult Emotions: Basic Mood Recognition

Datasets

Child and Adult Emotions: Basic Mood Recognition

File

Child and Adult Emotions: Basic Mood Recognition

Use Case

Computer Vision

Description

Explore our unique Child and Adult Emotions Dataset, featuring high-resolution images capturing basic moods like seriousness, sadness, and happiness.

About the Dataset

Context

The recognition of emotions in a natural setting often provides more realistic insights compared to the artificial environments typically used in emotion dataset creation. This dataset is intended primarily for personal research in emotion analysis. It is important to note that this dataset may not represent a diverse range of demographics as it includes only individuals from a single family background.

Content

This dataset is currently being compiled and a more detailed description will be available soon. It includes 160×160 pixel images of an adult and a child displaying various moods. Each image is named with a two-part prefix system:

The first prefix indicates the subject: ’01’ for adult and ’02’ for child.
The second prefix denotes the emotion: ’01’ for serious, ’02’ for sad, and ’03’ for glad.

Acknowledgments

Special thanks to my son for permitting the use of his childhood photos in this dataset.

Inspiration

This dataset aims to explore the limits of information recognition by algorithms in the context of image-based emotion detection. It provides a valuable resource for those interested in how well contemporary technology can identify and differentiate between basic human emotions from facial expressions.

This dataset is sourced from Kaggle.

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Child and Adult Emotions: Basic Mood Recognition