Video Annotation Services
LabelFort is both a self serve video annotation tool and a fully managed annotation service. Use the platform directly for frame accurate object tracking, shape and track modes, persistent object identities, keyframe interpolation, and AI assisted tracking pipelines, or hand footage to LabelFort's trained teams under the same governance. All verifier actions are logged, and exports are MOT17 ready, so perception and surveillance models train on data that meets safety requirements.
What happens when the object leaves the frame
LabelFort's video annotation services initiate tracking with AI assistance, then verify each track through human review and cross frame consistency checks, confirming an identity persists across an occlusion or a camera cut rather than resetting as a new object. Tracking data exports aligned in MOT and CSV; the same consideration whether you're comparing this against other video annotation software or scoping a managed engagement, and frame level attributes score the same way the geometry does. Run it yourself as your video annotation tool, or hand footage to LabelFort's managed teams; the audit trail and review history are identical either way.
Video annotation capabilities
LabelFort's video annotation services cover the same five geometries as image annotation: boxes, segmentation masks, keypoints, polylines, and depth cuboids. Each runs in Shape or Track mode. Track is available for boxes, polylines, and depth cuboids; the other geometries stay frame by frame. Everything is scored under the same evidence standard whether the footage is a fifteen second clip or a ninety minute recording.
Shape mode: frame by frame annotation
Shape mode labels every frame on its own rather than inferring from the ones around it. It is the right choice when continuity between frames cannot be assumed: rapid cuts, objects constantly entering and leaving, or any clip where guessing between frames would get it wrong more often than it helps.
Track mode: one identity across the clip
Track mode keeps one object identity from first frame to last. If a car goes behind a truck and reappears, it keeps its original label instead of being treated as new. Annotators mark key frames; in-between frames fill in automatically, and corrections persist. AI can draft tracks; humans review for drift and mix-ups. Available for boxes, polylines, and depth cuboids.
FAQs
Can LabelFort handle long form or aerial video?
Yes. Aerial and surveillance footage, dashcam and in cabin video, surgical video, and long form recordings are supported with frame navigation, skip controls, and track management tooling.
What video export formats are supported?
MOT17 for Detection projects running Track mode, plus Excel or CSV with full attribute and track identity fidelity. COCO, YOLO, and KITTI are not offered for video; for per frame detection without temporal identity, use the image annotation path.
How does keyframe interpolation work?
In Track mode, annotators mark an object at a few key moments in the clip, and the frames between those moments are filled in automatically. If someone edits one of those in between frames, that frame becomes a new key moment so the correction is not overwritten by the next fill in pass.
How are occlusions handled during tracking?
Occlusion is where most tracking datasets quietly fail. When an object passes behind another and re emerges, the verifier confirms the identity continues rather than treating the re emergence as a new object, and that confirmation is logged as its own reviewed decision, not inferred automatically from proximity or motion prediction.
Is LabelFort a video annotation tool or a managed service?
Both. LabelFort is a video annotation tool you can run yourself, with role based workspaces and the same Shape and Track tooling described above, and a managed service where LabelFort's own teams do the work under your constraints. Most regulated teams use a mix, self serve for lower risk footage, managed for anything that needs domain trained reviewers.
Ready to evaluate LabelFort against your regulator’s checklist?
Begin with a one hour Compliance Review to evaluate how our video annotation services align with your regulatory checklist. We develop an evidence grade proof of concept using your data & requirements. There are no open trials or hidden pricing.
Certifications & readiness
