The Micro-Expressions Dataset comprises 80×80 pixel color images of faces from children, adults, and elders, sourced from Google Images. The dataset captures a range of emotional expressions, including anger, disgust, fear, happiness, neutral, sadness, and surprise.
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Data Collection and Processing:
Sources: Google Image Search
Preprocessing Steps:
Removal of duplicate images
Exclusion of images without faces
Cropping to focus on faces
Eliminating images smaller than 80×80 pixels
Resizing all images to 80×80 pixels
Manual validation to ensure quality
Applications:
Emotion detection in AI models
Behavioral studies
Enhancing human-computer interaction systems
Enhanced Features:
Metadata: Each image is annotated with metadata detailing the age group (child, adult, elder) and the specific emotion displayed.
Diverse Demographics: Images include a balanced representation of various ethnicities and age groups to improve the robustness of models trained on this dataset.
Quality Assurance: The dataset undergoes rigorous quality checks, including manual verification, to ensure high standards and reliability.
Compliance: Adheres to privacy standards and ethical guidelines in data collection and usage.
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Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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Requirement With Us
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