From the Lab

Sports AI & computer vision insights.

23Articles published

Expert analysis on annotation, player tracking, skeletal data, and the systems powering modern sports computer vision.

Latest

Tennis Computer Vision: Ball Tracking, Player Analysis and AI on Court (2026)

Technology

Featured

2026-06-1517 min read

Tennis Computer Vision: Ball Tracking, Player Analysis and AI on Court (2026)

How computer vision works in tennis — from ball tracking and line-call technology to serve mechanics and player movement analysis — and why tennis is one of the hardest sports to build reliable AI for.

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Technology

American Football Computer Vision: NFL Player Tracking, Formation AI and Next Gen Stats (2026)

2026-06-1517 min read

Technology

How to Build a Sports Computer Vision Training Dataset (2026 Guide)

2026-06-1416 min read

All articles

Basketball Computer Vision: Player Tracking, Shot Detection and AI in the NBA (2026)

Technology

2026-06-1415 min read

Basketball Computer Vision: Player Tracking, Shot Detection and AI in the NBA (2026)

How computer vision works in basketball — from player tracking and ball detection to shot classification and play recognition — and why training data quality determines whether NBA-grade AI performs in production.

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Sports Computer Vision Companies: Who They Are and How to Choose a Data Partner (2026)

Technology

2026-06-1210 min read

Sports Computer Vision Companies: Who They Are and How to Choose a Data Partner (2026)

A complete guide to sports computer vision companies in 2026 — who builds tracking technology, who supplies training data, how the ecosystem works, and what to look for when choosing an AI data partner.

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Sports Annotation Companies: Who They Are and How to Choose One (2026)

Technology

2026-06-1211 min read

Sports Annotation Companies: Who They Are and How to Choose One (2026)

A complete guide to sports annotation companies in 2026 — who they are, how the market is structured, what separates specialist providers from generic services, and a 7-point checklist for choosing the right vendor.

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Computer Vision in Sports: Player Tracking, Ball Tracking and Game Event AI (2026)

Technology

2026-06-1213 min read

Computer Vision in Sports: Player Tracking, Ball Tracking and Game Event AI (2026)

A complete guide to computer vision in sports: how player tracking, ball tracking and event logging work, why training data is the real bottleneck, and what sports AI teams actually need to build reliable models.

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What Makes the Best Sports Data Annotation Company? 6 Non-Negotiables (2026)

Technology

2026-06-127 min read

What Makes the Best Sports Data Annotation Company? 6 Non-Negotiables (2026)

Not all sports annotation companies are equal. Here are the 6 non-negotiables that separate elite sports data annotation from annotation that looks right but breaks your model.

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Computer Vision in Sports: How It Works, Real Applications, and the Data Behind It

Technology

2026-06-066 min read

Computer Vision in Sports: How It Works, Real Applications, and the Data Behind It

A practical guide to computer vision in sports: how the pipeline works, where it's used across football, basketball and cricket, and why training data is the real bottleneck.

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Computer Vision Football: Player Tracking, Event Logging and Tactical AI

Sports AI Analytics

2026-05-1010 min read

Computer Vision Football: Player Tracking, Event Logging and Tactical AI

Learn how computer vision football systems use player tracking, skeletal data, event logging and tactical AI to convert match footage into structured football intelligence.

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AI in Cricket: Computer Vision for Ball Tracking and Bat Detection

Sports AI Analytics

2026-05-1010 min read

AI in Cricket: Computer Vision for Ball Tracking and Bat Detection

Learn how AI in cricket uses computer vision, ball tracking, bat detection, pose estimation and event annotation to power analytics, coaching and broadcast systems.

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The Human Element: Why Domain Expert Annotators Matter More Than Ever in Sports AI

Sports Analytics

2026-04-214 min read

The Human Element: Why Domain Expert Annotators Matter More Than Ever in Sports AI

As computer vision architectures grow increasingly powerful, the primary bottleneck in sports AI is no longer processing power - it’s the nuanced, biomechanical understanding of the human annotators creating the ground truth.

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Revolutionizing Down Under: The Rise of Sports AI & Computer Vision Annotation in Australia

Sports Analytics

2026-04-163 min read

Revolutionizing Down Under: The Rise of Sports AI & Computer Vision Annotation in Australia

As the Australian sports season reaches its peak, discover how AI computer vision and specialized data annotation are transforming AFL, Cricket, and Rugby analytics.

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The Data Advantage: How Professional Clubs Translate Raw Footage into Tactical Intelligence

SPORTS AI

2026-04-114 min read

The Data Advantage: How Professional Clubs Translate Raw Footage into Tactical Intelligence

For Professional Clubs, winning margins are measured in millimeters. Discover how elite Heads of Analytics are deploying Computer Vision to generate Tactical Performance Logs, AI Scouting Intelligence, and Biomechanical Audits.

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Real-Time AR in Sports Broadcasting: Training Computer Vision Models for 0-Latency Analytics

SPORTS AI

2026-04-104 min read

Real-Time AR in Sports Broadcasting: Training Computer Vision Models for 0-Latency Analytics

Broadcast & Media companies are racing to integrate live Augmented Reality (AR) graphics and player tracking. Discover why pixel-perfect semantic segmentation and multi-camera synchronization are the critical bottlenecks in reaching 0-latency live physics data.

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The Ground Truth: How Top Sports Tech Startups Scale Computer Vision Models in 2026

SPORTS AI

2026-04-094 min read

The Ground Truth: How Top Sports Tech Startups Scale Computer Vision Models in 2026

For Sports Tech companies crossing the chasm from Beta to Broadcast Analytics, scaling data annotation is the ultimate hurdle. Discover how automated cameras and wearable tech startups survive the transition by partnering with specialized Ground Truth vendors.

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SPORTS AI

2026-04-083 min read

Solving the 1% Edge Case in Sports AI: Why Leading Labs are Shifting to Managed Human-in-the-Loop Pipelines

As Computer Vision models reach 90% accuracy, AI Labs are discovering that the final 10% requires exponentially more effort. Learn how Human-in-the-Loop (HITL) pipelines are solving severe occlusion, temporal drift, and deep edge cases.

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The 2026 US Sports Season: A Data Annotation Masterclass for AI Models

SPORTS AI

2026-04-074 min read

The 2026 US Sports Season: A Data Annotation Masterclass for AI Models

As the NFL, NBA, and MLB seasons overlap, the demand for complex computer vision models skyrockets. Discover how elite sports tech companies handle the massive bottleneck of scaling 3D volumetric tracking and multi-person pose estimation.

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SPORTS AI

2026-03-069 min read

Top 6 Annotation Platforms for Sports AI in 2026

Discover the top 6 computer vision annotation platforms powering sports AI in 2026. From CVAT to Encord, learn which tools handle complex video tracking, and why pairing enterprise software with expert human annotators provides the ultimate competitive advantage.

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Training AI for Cricket Analytics: From Ball Tracking to Pose Estimation

SPORTS AI

2026-03-044 min read

Training AI for Cricket Analytics: From Ball Tracking to Pose Estimation

Building computer vision models for cricket requires highly specialized Ground Truth data. Discover how we annotate ball trajectories, pitch maps, and complex bowler biomechanics for modern sports AI pipelines.

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Skeletal Tracking vs. Bounding Boxes in Sports AI: A Technical Guide to Ground Truth Data

COMPUTER VISION

2026-03-035 min read

Skeletal Tracking vs. Bounding Boxes in Sports AI: A Technical Guide to Ground Truth Data

Which annotation strategy is right for your sports CV pipeline? We compare the computational tradeoffs, accuracy, and use cases of bounding boxes versus dense skeletal tracking for training multi-object occlusion models.

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Data Annotation

2026-03-013 min read

The 2026 Guide to Sports Data Annotation: Powering the Next Generation of AI

Discover why precision sports data annotation - from 22-point skeletal tracking to complex event logging - is the critical bottleneck for scaling modern Sports AI and computer vision models.

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Mastering Football AI Tracking: Implementing 22-Point Skeletal Data & Complex Event Recognition

Technology

2026-02-258 min read

Mastering Football AI Tracking: Implementing 22-Point Skeletal Data & Complex Event Recognition

Football analytics is evolving from "where" to "how" - and it starts with the skeleton. Learn how 22-point body tracking is unlocking the ability to predict player intent and automate complex event recognition.

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