Human Body Motion Dataset
Project Overview:
Objective
Human Body Motion Dataset 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
Stages
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.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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