The digital age has resulted in an outburst of visual content, including surveillance footage, social media videos, and dynamic information from autonomous vehicles. For artificial intelligence (AI) and machine learning (ML) systems to decipher these visual inputs, structured labeled data is necessary. Video annotation services act as a critical bridge, taking raw footage to AI-ready data, enabling intelligent systems to analyze, interpret, and learn from video-based inputs.