Atlas Capture-Video Data Annotation Project
Video
Text GenerationWorked on the Atlas Capture video dataset annotation project focused on preparing high-quality training data for AI models. My responsibilities included reviewing and labeling video content frame-by-frame, generating accurate text descriptions, and ensuring contextual understanding of scenes for text generation tasks.Tasks performed: Annotating video clips with descriptive text outputs based on visual content Ensuring consistency, clarity, and accuracy in generated labels Identifying key objects, actions, and events within video sequences Following strict annotation guidelines to maintain dataset quality standards Reviewing and correcting labeling errors to improve model training reliability The project involved handling a large volume of short-form and long-form video data, requiring attention to detail and consistency across all annotations. Quality was maintained through cross-checking, guideline adherence, and iterative review processes.