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Share Your Data
Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
Annotation service
Video Annotation Services
Frame-accurate video annotation — object tracking, event detection, and temporal labels for surveillance, sports analytics, and autonomous vehicle datasets.
- Frame-level and temporal consistency
- Multi-camera and long-form clip support
- Sports, retail, and AV workflows
- Scalable 24/7 video labeling ops
Service overview
Video models require labels that stay consistent across frames — not just static boxes on still images. Our video annotation services provide object tracking, event detection, activity recognition, and temporal taxonomy tags for surveillance platforms, sports analytics, retail behavior AI, and autonomous vehicle perception stacks.
Why temporal accuracy matters in video ML
ID switches and drift between frames destroy tracker performance in production. Our annotators maintain object identity across sequences, annotate events on timelines, and follow frame-interval QA so your models learn stable temporal patterns.
Video labeling capabilities
Single-object and multi-object tracking; action and event segmentation; pose and keypoint tracks; lane and zone polygons on dashcam footage; person re-identification labels; basket and queue analytics for retail video AI.
Use cases across industries
CCTV threat detection and loitering alerts, football and basketball player tracking, in-store shopper journey analysis, warehouse forklift safety monitoring, and multi-sensor AV rigs capturing urban driving scenes.
Operations at broadcast scale
We staff dedicated video pools with 24/7 coverage for continuous ingest from global camera networks. Projects scale from pilot clips to millions of annotated frames per program without sacrificing review depth.
QA for long-form and multi-camera video
Nth-frame audit sampling, consensus on difficult clips, and automated checks for temporal ID consistency. Safety-critical AV and security workloads receive additional specialist review layers.
Get started
Get frame-accurate video training data with enterprise QA. Tell us your frame rate, camera count, taxonomy, and accuracy targets — we scope video annotation timelines and pricing for your ML roadmap.
Industries we serve
Our annotation process
A proven calibration-to-production workflow for enterprise annotation programs.
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Project Analysis
We define labeling guidelines, class taxonomy, edge cases, and accuracy targets with your ML and product stakeholders.
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Annotation
Trained annotators label bounding boxes, masks, tracks, transcripts, or 3D cuboids in your toolchain or our workspace.
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Quality Assurance
Multi-pass review, consensus scoring, and automated checks before any dataset reaches your training jobs.
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Delivery & Support
Receive COCO, JSON, Pascal VOC, or custom exports — plus ongoing support as your models and taxonomies evolve.
Service FAQ
Answers about scope, quality, tooling, and delivery.
Both. We label continuous frame sequences for tracking, sampled frames for classification, and event segments on timelines for behavior analytics.
Yes. We run frame-sampling QA and temporal ID consistency checks across full matches and multi-camera broadcast feeds.
Your toolchain or our secure workspace — with exports compatible with major training frameworks and custom AV perception pipelines.
Ready to start your video annotation services project?
Talk to our enterprise team about volume, timeline, QA targets, and pricing.