Precision Video Annotation for Football Game AI

Globik AI helped a leading US-based sports tech company enhance its football AI models with frame-level video annotation, capturing every player movement and gameplay detail. By combining domain-trained annotators and precise quality control, the project enabled advanced analytics, automated highlights, and deeper fan engagement experiences.

Client


A US-based sports technology company building advanced AI solutions for player performance analysis, game insights, and fan engagement.

The Challenge

Modern sports analytics demand more than just tracking goals and highlights. Football AI models require highly detailed annotations, from identifying each player on the field to tagging gameplay events like passes, tackles, shots, and goals.

The client needed:

  • Frame-level accuracy in annotating players and game actions
  • Context-aware tagging to capture gameplay nuances (e.g., offside runs, ball possession, transitions)
  • Annotators trained in the rules and flow of football, not just generic video labeling
  • A scalable team capable of handling large volumes of match footage quickly without compromising accuracy
The Solution

Globik AI deployed a specialized team of video annotators with strong understanding of football gameplay and annotation expertise.

The solution involved:

  1. Player Detection and Tagging
    Every player was identified and tagged consistently across frames for team-based and individual tracking.
  2. Gameplay Action Annotation
    Events such as passes, dribbles, tackles, shots, fouls, and goals were annotated with timestamp precision.
  3. High-Accuracy Standards
    Multi-layer quality checks ensured annotations met AI training-grade precision.
  4. Domain-Aware Annotators
    Annotators were trained in football rules, strategies, and nuances, enabling context-aware tagging rather than mechanical labeling.
  5. Quick Turnaround
    A streamlined workflow allowed delivery within tight timelines, supporting the client’s need for continuous AI model training.
The Result

The client received highly precise annotated football game footage, enabling their AI models to:

  • Track player movement and positioning throughout matches
  • Analyze gameplay strategies such as passing networks, defensive structures, and attacking patterns
  • Automate highlight generation by tagging key match events like goals, saves, or red cards
  • Improve fan engagement tools, providing enriched match statistics and interactive experiences
Real-World Use-Cases
  • Sports Analytics Platforms: Coaches and analysts gain deeper insights into player fitness, positioning, and team tactics.
  • AI-Powered Broadcasting: Networks auto-generate highlights, replay key moments, and provide richer real-time commentary.
  • Scouting & Recruitment: Clubs use annotated footage to evaluate potential players with data-backed evidence of performance.
  • Fantasy Sports & Fan Engagement: Fans access enhanced data like pass accuracy, distance covered, or goal probability to elevate their experience.
Why It Matters

Football is not just the world’s most popular sport, it is also a data-rich field where every movement, decision, and outcome can change the game. By delivering frame-accurate annotations with deep understanding of the sport, Globik AI empowered the client to train cutting-edge models that bring data and insights closer to coaches, broadcasters, and fans alike.

Key Highlights
  • Football video annotation with frame-level accuracy
  • Gameplay nuances captured: passes, tackles, shots, fouls, goals
  • Trained annotators with football knowledge
  • Scalable and fast turnaround for large datasets
  • Use cases enabled: Sports analytics, broadcasting, scouting, fan engagement
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