Sports Analytics
Player and ball tracking, action recognition, and event timeline generation for performance and broadcast analytics.
Computer Vision
Frame-accurate labeling, object tracking, and event tagging for video understanding models.
Video adds a layer of complexity that image annotation doesn't have: object identity must hold steady across hundreds of frames, events unfold with a start and end in time, and data volumes scale up fast. Our teams pair interpolation-assisted tooling with human keyframe review to produce temporally consistent object tracks, activity labels, and event annotations at production scale — with per-track quality checks that catch identity switches and tracking drift before data ever ships.
Player and ball tracking, action recognition, and event timeline generation for performance and broadcast analytics.
In-store customer movement tracking, dwell-time analysis, and shelf-interaction labeling for store optimization.
Scene segmentation, activity tagging, and highlight detection for automated video editing and content recommendation.
Labeling for PPE compliance, hazard proximity, and unsafe behavior detection in industrial or warehouse video feeds.
We assign persistent IDs and run per-track QA, so identity switches and tracking drift are caught before delivery rather than surfacing in your training data.
We combine interpolation-assisted tooling with human review at keyframes, so throughput stays high without leaving the in-between frames unchecked.
Yes — including synchronized multi-camera setups and first-person/ego-centric video.
Footage is handled by an assigned team under access controls, with retention and deletion terms set per engagement.
Start with a pilot batch — see the quality of the data before you commit.