Japanese Female Facial Expression Dataset
Project Overview:
Objective
Our aim is to compile a comprehensive dataset specifically focusing on Japanese female facial expressions. This endeavor seeks to enhance AI-powered emotion recognition systems tailored to this demographic by refining and enriching the dataset with diverse facial expressions.
Scope
Our scope involves meticulously collecting and annotating a wide variety of facial expressions from Japanese females. This comprehensive approach aims to refine facial analysis technology by enriching the dataset with diverse data points specific to this demographic.
Sources
- Call Center Recordings: Genuine conversations between customers and representatives.
- Scripted Dialogues: Tailored scripts performed by bilingual speakers, covering various situations.
- User-Generated Content: Spontaneous submissions of Hinglish interactions from the community.
Data Collection Metrics
- Total Images and Videos Collected: 40,000
- Total Data Annotated for Machine Learning: 60,000 expressions
Annotation Process
Stages
- Emotion Categorization: Thoroughly categorizing expressions into emotions such as happiness, sadness, and surprise.
- Intensity Assessment: Assigning intensity ratings to each expression based on emotional strength.
Annotation Metrics
- Total Annotations: 60,000
- Categories Annotated: 40,000
- Intensity Ratings: 20,000
Quality Assurance
Stages
Model Evaluation: Consistent evaluation processes implemented to maintain a high level of accuracy in recognizing emotions depicted.
Privacy and Compliance: Stringent adherence to privacy regulations and ethical guidelines to safeguard individuals’ data and ensure responsible data usage.
Feedback Mechanisms: Establishing regular channels for AI developers to provide input, enabling ongoing refinement and enhancement of dataset effectiveness.
QA Metrics
- Recognition Accuracy: 93%
- Privacy Adherence: 100%
Conclusion
In conclusion, this dataset serves as a crucial asset for advancing AI technologies, specifically in accurately discerning and interpreting Japanese female facial expressions. These advancements contribute to improving user interface and interaction experiences.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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