Frame-by-frame object tracking, action recognition, and event labelling for video AI. From autonomous vehicle footage to sports analytics and CCTV intelligence — our teams deliver temporally consistent, production-quality video labels at scale.
Video annotation goes far beyond static image labelling. Your model must understand how objects move, interact, and change over time. We deliver temporally consistent labels — objects maintain the same ID across frames, trajectories are smooth, and occlusions are handled correctly.
We support bounding box tracking, semantic segmentation video, skeletal keypoint tracking, activity recognition labelling, and custom event tagging — covering every video AI use case from ADAS to sports analytics.
Our video annotation platform supports MP4, AVI, MOV, and raw frame sequences. We deliver in your preferred format including JSON, AVRO, or direct pipeline integration.
Vehicle, pedestrian, and cyclist tracking for ADAS and AV testing. We annotate multi-class object tracks across dashcam, forward-facing camera, and 360° sensor footage with ID consistency across camera cuts and occlusions.
Player tracking, event detection, and performance analysis for football, basketball, cricket, and other sports. We label player identities, ball trajectories, tactical formations, and key events like goals, passes, and fouls.
Person re-identification and threat event detection from CCTV and IP camera footage. We annotate tracks across camera transitions, flag anomalous behaviour, and label crowd density events for public safety AI systems.
Robot arm motion verification and assembly step annotation for manufacturing AI. We label tool usage, component handling events, and workstation activity sequences to train process monitoring and safety compliance models.
Human activity recognition for retail analytics, public space monitoring, and occupational health AI. We label fine-grained activities — browsing, picking, queuing, and interaction events — with temporal start and end markers.
Surgical video annotation for AI-assisted procedure training and intraoperative guidance systems. We label instrument tracking, tissue interaction events, and procedural step boundaries in endoscopy and laparoscopy footage.
We determine the optimal frame rate, keyframe vs. interpolated annotation ratio, and tracking scope for your project. For high-speed footage we define multi-pass strategies — coarse tracking followed by fine-grained keyframe correction.
A short clip is annotated to validate ID consistency, trajectory smoothness, and event label accuracy before full production. Track continuity across occlusions and partial visibility is tested and calibrated in the pilot phase.
Teams annotate with automated interpolation tooling for efficient keyframe-based workflows, supplemented by manual QA on edge frames where occlusions, lighting changes, or scene cuts require human judgement.
Track continuity checks, ID merge and split validation, and activity label boundary reviews are performed before every delivery. Final output is exported in JSON, AVRO, CVAT XML, or any custom video annotation schema.
Object IDs are maintained seamlessly across cuts, occlusions, and camera changes. Our annotators follow strict re-identification protocols to ensure your model sees smooth, consistent object trajectories throughout every video.
Process thousands of video hours with parallel annotation teams. Our managed team structure allows rapid ramp-up — adding capacity within days rather than weeks for time-critical production pipelines.
Sensitive video footage — medical, surveillance, and proprietary automotive — is protected under ISO 27001 protocols with encrypted storage, access-controlled annotation environments, and signed NDAs for every project.
JSON, AVRO, CVAT XML, or any custom video annotation schema are all supported. We include format validation, schema documentation, and sample verification files with every delivery batch.
Frame-level and track-level quality review before every delivery. A dedicated QA lead reviews every batch for temporal consistency, label accuracy, and format correctness — giving you confidence before any delivery is accepted.
Scale your video annotation budget without sacrificing accuracy. Our Africa-based teams deliver the same temporal precision as premium providers at 40–60% lower cost — making large-scale video AI projects financially viable.
Get a custom quote within 24 hours. Our team is ready to discuss your dataset requirements and timeline.