Train Matricx

Human-verified training data for sports computer vision.

Train Matricx is a managed sports data annotation team. Sports AI teams send match video and a labeling schema; annotators who know the sport produce the labels, and every delivery goes through a 3-layer QA pipeline before it ships.

We are a service team, not a software platform. We work inside your schema and your tools, or deliver in the format your pipeline already ingests.

What we annotate

• Player and ball tracking with persistent player IDs through occlusion, camera cuts and substitutions
• Event tagging to your own taxonomy (passes, shots, set pieces, serves, rallies and sport-specific sub-events)
• Skeletal keypoints and pose for movement and biomechanics models
• Court and pitch registration for mapping broadcast pixels to field coordinates
• Segmentation and bounding boxes for detection models

Delivered as COCO, YOLO, JSON, CSV or your internal format. 20+ sports covered, including football (soccer), basketball, cricket, tennis, ice hockey and golf.

How we check quality

1. Primary annotator applies the labels to your class definitions
2. Specialist reviewer cross-checks complex events and verifies player identity across occlusions
3. Senior auditor confirms the delivery matches your schema exactly

We report quality as first-pass acceptance: the share of deliveries your team accepts without rework.

Work with us

• Free pilot on your own footage before any volume is agreed: trainmatricx.com/pricing
• Case studies: trainmatricx.com/case-studies
• Sports event taxonomy: trainmatricx.com/sports-taxonomy
• Labeling guides: How to build a sports computer vision dataset · Player re-ID labeling rules
• Contact: info@trainmatricx.com · LinkedIn