Data Annotation for Sports Technology
Get training data for AI in sports with consistent player tracking, frame-accurate events, and pose annotations for sports analytics across complex game footage.
REQUEST PILOTTrusted by
200+ customers
Solving Data Challenges for AI in Sports
Sports Tracking & Computer Vision
Occlusion and motion blur break multi-object tracking
Player IDs switch in crowded scenes
Field lines and camera landmarks need consistent 3D labels
Sports Video Analytics & Broadcast
New sports and venues require frequent taxonomy updates
Highlight and event boundaries need frame-accurate timestamps
Camera framing and quality vary by venue and league
Officiating & Sports Data Technology
Fouls and contact events need frame-accurate timing
Rare, high-stakes calls are underrepresented
Manual event tagging does not scale
Sports Data Analytics Teams
Manual event tagging does not scale with footage volume
Automated event extraction needs expert-verified ground truth
New leagues often lack labeled training data
Featured Client Story
Overview
For Nex, a motion entertainment company, Label Your Data provided skeleton annotation to train human pose estimation models. See how nearly 15,000 labeled images helped improve motion tracking accuracy and body detection consistency.
Results
images collected & annotated
higher model accuracy
dedicated annotators
Sports Technology Use Cases We Support
Train computer vision in sports models across occlusion, camera cuts, and crowded scenes.
Build 2D and 3D pose models for sport-specific movement analysis.
Label game events with frame-accurate timing and context.
Build adjudicated ground truth for high-precision officiating models.
Annotate field and court geometry for real-world position mapping.
Structure match footage for automated content production.
Train computer vision in sports models across occlusion, camera cuts, and crowded scenes.
Build 2D and 3D pose models for sport-specific movement analysis.
Label game events with frame-accurate timing and context.
Build adjudicated ground truth for high-precision officiating models.
Annotate field and court geometry for real-world position mapping.
Structure match footage for automated content production.
How We Work
Discovery
call
Book a call or fill out a contact form to discuss your needs with our team.
Pilot
project
Send sample data and receive annotations at no cost to evaluate quality.
Custom
proposal
Get a tailored plan with scope, timelines, and transparent pricing.
Data
annotation
Scale up with dedicated, vetted teams and multistep QA workflows.
Delivery
and iteration
Receive export-ready data and iterate as your model evolves.
Estimate Your Costs
For other use cases
send us your request to receive a custom calculation
Send your sample data to get the precise cost FREE
Why Sports Tech Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
Build Sports Analytics Models with
Frame-Accurate Training Data
Reviews
What Our Clients Say
Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.
Jack Prescott
Software Engineer, Nex
Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.
Ben Niehaus
CTO, SpexAI GmbH
Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.
Piotr Swierczynski
Director of Engineering, NODAR
Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.
Josha Bharadwa
Software Architect, Searidge Technologies
Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.
Luca van Skyhawk
VP of Customer Success, Hypatos GmbH
After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.
Radouane Kaddari
Machine Learning Engineer, Peter Park
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After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.
Maxime Debarbat
Senior ML Engineer (GenAI)
Trusted by ML Professionals
FAQs
How is AI used in sports?
AI for sports supports player and ball tracking, pose estimation, biomechanics, event recognition, officiating, and automated broadcasting. Label Your Data provides the labeled video, imagery, keypoints, tracking IDs, and event data needed to train and evaluate these models.
How is AI being used in sports analytics today?
AI is used in sports analytics to extract player positions, movements, actions, possession events, and match timelines from game footage. Sports video annotation provides the frame-accurate ground truth needed to train these systems across changing cameras, venues, and game conditions.
What should sports data companies look for in a data annotation partner?
Sports data companies should look for consistent player tracking, frame-accurate event annotation, multi-camera support, adaptable taxonomies, and strong QA. Managed data annotation services from Label Your Data combine sports-specialized annotation teams with structured QA workflows focused on tracking accuracy, ID consistency, and event timing.
Can Label Your Data scale sports video annotation across leagues, venues, and seasons?
Yes, our sports video annotation workflows can scale as rosters, venues, camera setups, and rules change. Label Your Data adjusts taxonomies and guidelines while maintaining tracking consistency and event-label quality across ongoing deliveries.
How is computer vision used in sports?
Computer vision in sports is used for player and ball localization, multi-object tracking, pose estimation, action recognition, camera calibration, and officiating analysis. As a specialist AI data partner, Label Your Data supports these workflows with bounding boxes, keypoints, persistent IDs, field geometry, and frame-level event labels.