Human Body Motion Dataset

Project Overview:

Objective

In our quest to advance AI technologies, we successfully compiled an extensive and diverse dataset of human-centric videos. This rich resource is designed to enhance AI capabilities in crucial areas such as facial recognition, behavioral analysis, activity recognition, and human-environment interaction.

Scope

Our team diligently gathered videos encapsulating a wide range of human experiences. This collection showcases diverse demographics, activities, environments, and emotional expressions, providing a comprehensive perspective of human life.

Sources

Public Areas: We partnered with city councils to include footage from vibrant public spaces, adhering to strict privacy guidelines.
Educational Institutions: We collaborated with educational bodies to obtain videos from academic environments, offering unique insights into educational dynamics.
Events: Our collection features a variety of events, from cultural festivals to sports, capturing the essence of human celebrations and gatherings.
Volunteer Submissions: We also launched a volunteer-driven initiative, gathering videos under stringent privacy measures and clear consent protocols.

Data Collection Metrics

Public Areas: 35,000
Educational Footage: 25,000
Event Recordings: 30,000
Volunteer Contributions: 40,000

Annotation Process

Stages

Demographic Data: Information on age group, gender, and ethnicity.
Activity Annotation: Categorization based on observed activities.
Setting & Context: Tags describing the environment and context.

Annotation Metrics

Demographic Annotations: 130,000
Activity Annotations: 130,000
Setting Tags: 130,000

Quality Assurance

Video Quality Review: We ensured high standards in video clarity and resolution.
Privacy Protocols: We rigorously checked each video for privacy adherence, anonymizing or blurring faces as needed.
Metadata Accuracy: We conducted secondary reviews to validate annotation accuracy.

QA Metrics:

Videos Requiring Quality Enhancement: 13,000
Full-Spectrum Privacy Checks: 130,000
Metadata Audit Samples: 26,000

Conclusion

Human Videos Data Collection Initiative has set a new benchmark in the realm of AI-driven human behavioral analysis. By amassing this diverse and rich dataset, we’re paving the way for innovative human-centric AI applications. This project is a testament to our expertise in data collection and annotation across various domains, ready to revolutionize the future of machine learning.