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| title: README | |
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| # 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](https://trainmatricx.com/pricing) | |
| - Case studies: [trainmatricx.com/case-studies](https://trainmatricx.com/case-studies) | |
| - Sports event taxonomy: [trainmatricx.com/sports-taxonomy](https://trainmatricx.com/sports-taxonomy) | |
| - Labeling guides: [How to build a sports computer vision dataset](https://trainmatricx.com/blog/how-to-build-sports-computer-vision-training-dataset) · [Player re-ID labeling rules](https://trainmatricx.com/blog/player-reid-labeling-identity-rules-camera-cuts-occlusion) | |
| - Contact: info@trainmatricx.com · [LinkedIn](https://www.linkedin.com/company/train-matricx) | |