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 keep an object's identity consistent across a long video?

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.

How do you handle the volume — thousands of frames per clip?

We combine interpolation-assisted tooling with human review at keyframes, so throughput stays high without leaving the in-between frames unchecked.

Can you annotate multi-camera or ego-centric footage?

Yes — including synchronized multi-camera setups and first-person/ego-centric video.

How is our data kept secure?

Footage is handled by an assigned team under access controls, with retention and deletion terms set per engagement.

Ready to scale your video annotation services?

Start with a pilot batch — see the quality of the data before you commit.

Talk to an Expert →