High‑Performance Video Labeling Services
Temporal, model‑assisted video annotation for advanced computer vision and behavioral AI.
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Intro
Frame‑accurate, time‑aware annotation for video AI.
Andovar Annotate structures complex video streams into model‑ready datasets with frame‑level and temporal labeling. Our hybrid workflows track objects, actions, and events over time, combining automated pre‑labeling with human verification to support advanced computer vision, surveillance analytics, autonomous systems, and multimodal generative AI.
TEMPORAL‑AWARE VIDEO WORKFLOWS
Continuous object tracking with integrated QA.
We orchestrate video annotation through custom workflows that segment clips, propagate labels across frames, and enforce temporal consistency. From bounding boxes and keypoints to event timelines, every annotation is versioned, validated, and aligned with your model requirements and performance targets.
Object Detection & Tracking
Persistent IDs and frame‑to‑frame continuity for moving objects.
Action & Event Labeling
Tag behaviors, interactions, and scene changes over time.
Temporal Segmentation
Mark shot boundaries, phases, or critical intervals.
Keypoint & Pose Annotation
Capture human motion for sports, safety, and ergonomics models.
Multi‑Label Attributes
Add states such as speed, activity type, or risk level to each instance.
