AI Data Operations

Sports Analytics & Annotation: Tracking, Tagging & Events

We track players, balls, jerseys, events, and stadium scenes across every major sport (20+), frame by frame, so your sports analytics AI models learn from data that is accurate, consistent, and ready for production.

100% in-house delivery. No outsourcing. No work-from-home annotators. Every frame is handled by a trained, in-house expert sports data annotation team.

  • 950M+Assets Annotated
  • 250.7M+Sports-Specific Assets Annotated
  • 13+ YearsOf Expertise, Since 2014
  • 20+Industries Served
  • 97%+Quality Benchmark
  • 24x7x365Secure Operations

Capabilities

Sports Analytics & Annotation Services

A full range of sports tagging and tracking annotation, applied consistently across every match, clip, and dataset by sport-specific trained annotation teams.

14capabilities
across our service offering

CAPABILITY / 01

All capabilities

14 services
01Bounding boxes

Bounding Box & Player Identity Annotation

Every player in frame receives a precise 2D bounding box annotation, tagged with a consistent identity class that persists for the full match. This bounding box annotation is the foundation for player tracking, movement analysis, and action recognition.

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02Field tracking

Live Match Tracking

Scores and match events are tracked in real time as play unfolds, giving coaching staff and broadcast systems an accurate, continuously updated read on the game as it happens.

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03Keypoints

Key Point Placement on Players

Key point annotation is placed on the joints and body landmarks that matter for performance work: hips, knees, elbows, shoulders, and more. This landmark annotation feeds movement analysis, technique evaluation and strategy development, giving coaches concrete data on how a player's body moves through each action.

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04Field tracking

Player Tracking

Player movements and positions are continuously monitored across the full match. Annotators trace each player, from either team, capturing trajectory and the data points needed for team-level and individual performance analysis.

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05Field tracking

Sports Objects Tracking

Balls, shuttlecocks, pucks, and other in-play objects are tracked frame by frame using object tracking annotation, generating the trajectory and position data that game analytics depend on.

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06Jersey number

Jersey Number

Jersey numbers are tracked and annotated as players move through the frame, ensuring the correct number stays assigned to the correct player throughout the match.

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07Timeline

Event Tagging for all 20+ Sports

Match events are tagged sport by sport: serve aces, double faults, volleys and smash shots in tennis and badminton; penalty kicks, corner kicks, tackles and touchdowns in football and American football; free throws and three-point shots in basketball. Both team sports and individual sports such as boxing and athletics are covered, with major and minor events tagged to the same level of detail.

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08Pixel mask

Semantic Segmentation on Match & Stadium Images

Semantic segmentation annotation labels every pixel in a stadium scene, players, audience, ground, goalposts, referees, cameras, and advertising boards, assigning each region its correct class. This pixel-level detail supports both performance analytics and broadcast automation use cases.

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09Timeline

Match Analysis / Monitoring

Live match and signal monitoring tracks broadcast integrity, camera switching and signal troubleshooting through each round.

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10Keypoints

Player Action Analysis

Player actions are detected, classified, and analysed for 20+ sports: forehand and backhand strokes in tennis, passing, shooting, and tackling in football. The objective is to extract insight into player movement, decision-making, and on-field interaction that supports performance review.

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11Timeline

Key Game Moments Montage and Clips and Highlights Generation

2,000+ multi-sport highlight reels across Ice Hockey, Tennis, Wrestling, Gymnastics & more.

Pivotal match moments, goals, key shots, and momentum-shifting plays are identified and extracted into short-form video clips for highlight reels. The same process applies to live and recorded matches, across team and individual sports, and extends to capturing audience reaction alongside the on-field action.

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12Crowd

Audience Monitoring

Crowd reactions, cheers, applause, gasps, and boos are captured alongside match footage to support fan engagement analysis.

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13Bounding boxes

Logo Tracking & Brand Exposure

Sponsor and brand logos are tracked throughout the video to measure brand visibility, supporting sponsorship valuation and exposure reporting.

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14Field tracking

Player Trajectory Analysis

Player movement is tracked across the full match to build a trajectory record covering position, cutting patterns, sprints, huddles, velocity, distance covered, and approach. The specific data points tracked are adapted to the sport and the client's analysis objectives.

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HAVE A SPECIFIC REQUIREMENT?

Let’s define the right data for your AI.

Tell us what your model needs. We’ll help you scope the annotation capabilities that fit your project.

Talk to our team

Model-generated labels still need human verification.

We audit, correct and validate auto-annotated aerial data against your guidelines before it reaches your training pipeline.

Get Your Sample Batch Validated
LET'S GET STARTED

Data, Collected &Annotated.Teams, Deployed.Ready When You Are.

Whether you need precisely annotated training data, real-world data collection, a dedicated in-house team, or other staffing solutions, Qualitas Global delivers all three under one roof. Backed by over a decade of experience, we back every engagement with a risk-free 2-day pilot before you commit.

Powering AI Innovation. Delivering Model-Ready Data. Enabling Global Business.