Computer Vision

Video Annotation Services

Frame-accurate labeling, object tracking, and event tagging for video understanding models.

Overview

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.

What's included

  • ✓Multi-object tracking with persistent object IDs
  • ✓Frame-by-frame and interpolated bounding boxes / polygons
  • ✓Temporal event and activity annotation with start/end timing
  • ✓Video classification and scene-level segmentation
  • ✓Ego-centric and multi-camera video labeling
  • ✓High-volume pipelines with per-track quality validation

Use cases

Sports Analytics

Player and ball tracking, action recognition, and event timeline generation for performance and broadcast analytics.

Retail Video Analytics

In-store customer movement tracking, dwell-time analysis, and shelf-interaction labeling for store optimization.

Media & Content Production

Scene segmentation, activity tagging, and highlight detection for automated video editing and content recommendation.

Occupational Safety Monitoring

Labeling for PPE compliance, hazard proximity, and unsafe behavior detection in industrial or warehouse video feeds.

Frequently asked questions

How do you guarantee quality forvideo annotation services?

Every project runs through multi-tier QA: annotators are benchmarked against gold-standard tasks before production, batches are statistically sampled against agreed accuracy targets, and ambiguous cases are escalated and documented in a living labeling guide. You receive accuracy reports with every delivery.

Can we start with a small pilot before committing?

Yes — we recommend it. A paid pilot batch on your real data lets you evaluate our quality, turnaround, and communication before scaling. Pilot learnings become the project's labeling guide.

How is our data kept secure?

Client data is encrypted in transit and at rest, access is limited to the assigned project team under NDAs, and we support VPN-restricted or client-hosted workflows where data cannot leave your environment. Retention and certified deletion terms are set per engagement.

What tools and output formats do you support?

We work in your annotation platform or ours, and deliver in the format your pipeline expects — COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema — with delivery via API, cloud bucket, or scheduled export.

Ready to scale yourvideo annotation services?

Start with a pilot batch — see our quality on your data before you commit.

Talk to an Expert →