High‑Performance Video Labeling Services
Temporal, model‑assisted video annotation for advanced computer vision and behavioral AI.
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.
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.
Built for dynamic, real‑world environments.
Autonomous Driving
Train models to recognize and predict the motion of vehicles, pedestrians, and obstacles in complex traffic.
Healthcare & Surgical Video
Annotate procedures and medical imaging sequences for assistive diagnostics and post‑operative analysis.
Smart Cities & Traffic
Label intersections, congestion patterns, and incidents for urban planning and safety analytics.
Retail & In‑Store Analytics
Track shopper journeys, interactions, and dwell times to optimize layouts and operations.
Sports & Performance Analysis
Analyze player movement, tactics, and ball tracking for coaching and broadcast enhancements.
Generative Video AI
Supply richly annotated sequences for training and evaluating video generation and editing models.
Industrial & Robotics Vision
Monitor assembly lines, detect defects, and guide robots in dynamic environments.
AR/VR and Metaverse
Provide spatial and temporal ground truth for immersive, interactive experiences.
Security & Surveillance
Detect threats, anomalies, and suspicious behavior across large‑scale video networks.
Enterprise‑grade pipelines for complex video data.
Temporal Consistency at Scale
Enforced frame‑to‑frame continuity for reliable tracking and behavior modeling.
Model‑Assisted Efficiency
AI pre‑labeling reduces manual effort and speeds iteration on large video corpora.
Multi‑Sensor Flexibility
Support for fusing video with LiDAR and other streams in unified workflows.
Robust Quality Controls
Multi‑stage QA and guideline enforcement reduce drift and rework across datasets.
Audit‑Ready Delivery
Every decision, from segmentation to final labels, is logged for compliance and reproducibility.