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.

Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset

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.
Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset

Data Collection Metrics

  • Total Images and Videos Collected: 40,000
  • Total Data Annotated for Machine Learning: 60,000 expressions

Annotation Process

Stages

  1. Emotion Categorization: Thoroughly categorizing expressions into emotions such as happiness, sadness, and surprise.
  2. 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
Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset
Japanese Female Facial Expression Dataset

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 dataset

Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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Japanese Female Facial Expression Dataset