The Challenge
Processing 50,000+ hours of user-generated video required identifying violations across multiple categories (violence, nudity, hate speech, dangerous activities) while minimizing false positives. Annotations needed temporal precision with start/end timestamps and severity ratings.
Our Solution
Created specialized annotation team with content moderation expertise and psychological support. Developed hierarchical violation taxonomy with clear examples and edge case handling. Implemented sampling strategies balancing compute costs with annotation coverage. Built automated pre-filtering reducing manual review by 70%.
Project Specifications
Data Volume
50,000 hours of video, 120M frames
Team Size
60 content moderators
Duration
7 months
Accuracy
93.8%
Annotation Types
Tools & Technologies
Deliverables
Sample Annotations
Violence Detection
Temporal annotation of violent acts with severity classification and context understanding
Inappropriate Content
Multi-category classification covering nudity, graphic content, and age-inappropriate material
Hate Speech & Symbols
Visual detection of hate symbols, gestures, and contextual hate speech indicators
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