Video Annotation Services | AI Training Data for Computer Vision

Overview

Operational Support for Growing AI Initiatives

Building reliable computer vision models requires large volumes of accurately labeled video data. Video annotation converts raw footage into structured datasets that algorithms can interpret, enabling machines to understand movement, behavior, and context over time. Without consistently annotated video data, even advanced AI models struggle to perform reliably in real-world environments.

Unlike image annotation, video annotation introduces temporal complexity. Objects must remain identifiable across frames, actions require precise time-based labeling, and contextual relationships must be preserved throughout entire sequences.

As AI initiatives scale, annotation demands increase rapidly. Internal teams often face bottlenecks caused by manual labeling effort, evolving guidelines, and quality inconsistencies.

Computyne removes these constraints. We embed trained annotation teams into your data workflows. We adapt to your labeling tools, follow project-specific guidelines, and deliver training-ready video datasets with consistent accuracy. This allows your engineers to remain focused on innovation while we handle data preparation with speed, precision, and operational reliability.

Our Solution

Specialized Annotation Capabilities

Expert labeling from object tracking to segmentation, delivering temporal consistency for accurate computer vision models.

2D Bounding Box Video Annotation

Precise localization of moving objects across frames for object detection and classification models. Accurately localizes vehicles, pedestrians, and assets across frames for scalable computer vision and autonomous systems.

Polygon and Polyline Video Annotation

Fine-grained contouring of irregular shapes and linear structures for high-precision video analysis. Captures lanes, boundaries, and irregular shapes beyond bounding boxes for high-precision video analysis.

Semantic Segmentation Video Annotation

Pixel-level classification of every frame for complete scene understanding and safety-critical AI. Assigns class labels to every frame for scene understanding, navigation, and safety-critical computer vision applications.

Keypoint and Landmark Video Annotation

Skeletal tracking of joints and facial landmarks for precise motion analysis and biometrics. Tracks joints, facial landmarks, and gestures across video frames for AR, sports analytics, and biometrics.

LiDAR and 3D Point Cloud Video Annotation

Synchronization of 3D sensor data with video feeds for depth perception and sensor fusion. Enables depth perception, spatial awareness, and sensor fusion for autonomous driving and robotics.

Video Object Tracking Annotation

maintaining consistent object identities (ID) across frames despite occlusions or camera movement. Supports trajectory analysis, occlusion handling, and temporal continuity for surveillance and traffic intelligence.

Why Choose Us

Engineered for Precision, Scaled for Computer Vision

Experienced Video Annotation Professionals

We employ full-time, trained video annotation specialists, not anonymous crowdsourcing. Annotators are matched to medical, automotive, retail, and industrial domains for strong contextual understanding.

Managed Video Annotation Delivery

Dedicated project managers oversee daily execution. We align with your workflows, integrate with your tools, and enforce standardized annotation logic across all video datasets.

Scalable Video Annotation Support

Start with a focused pilot team and scale seamlessly as video volumes and model complexity increase. We manage hiring, training, and expansion without operational disruption.

Experienced Video Annotation Professionals

Managed Video Annotation Delivery

Dedicated project managers oversee daily execution. We align with your workflows, integrate with your tools, and enforce standardized annotation logic across all video datasets.

Scalable Video Annotation Support

Start with a focused pilot team and scale seamlessly as video volumes and model complexity increase. We manage hiring, training, and expansion without operational disruption.

FAQs

Frequently Asked Questions

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What is video annotation?

Video annotation is the process of labeling objects, actions, events, and timestamps within video data to create high-quality ground truth datasets used to train computer vision and AI models.

How does video annotation differ from image annotation?

Video annotation requires temporal consistency, meaning objects must be tracked and retain their identity across multiple frames, whereas image annotation treats each frame as an independent, static instance.

Can you work with our existing video annotation tools?

Yes. We are tool-agnostic and integrate seamlessly with proprietary platforms or third-party video annotation tools such as CVAT, Labelbox, and V7 without disrupting existing workflows.

How do you ensure video annotation accuracy?

Accuracy is ensured through a Human-in-the-Loop (HITL) approach, standardized annotation guidelines, calibration phases, and multi-tier quality assurance with senior reviewer validation.

Is video data kept secure during annotation?

Yes. All video annotation operations comply with ISO/IEC 27001:2022 and GDPR standards, using secure access controls, air-gapped environments for sensitive data, and strict confidentiality agreements.

Can you scale video annotation teams quickly?

Yes. Pilot teams can be launched rapidly, and our managed workforce model allows fast scaling to support high-volume and long-duration video annotation projects.

Can you handle complex video labeling tasks?

Yes. We conduct calibration and alignment phases to define edge cases, temporal rules, and subjective labeling criteria before transitioning to full-scale production.

What video formats do you support?

We support all standard video formats such as MP4, AVI, and MOV, as well as specialized formats including medical DICOM videos, industrial footage, and surveillance video streams.

Get in Touch

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Client Feedback

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Industries

Industries We Serve

Autonomous Vehicles

Training data for lane detection, object recognition, pedestrian tracking, and driver behavior modeling to support advanced perception and autonomy.

Retail & E-commerce

Video intelligence for foot traffic analysis, shelf interaction monitoring, and cashier-less checkout systems to optimize in-store and omnichannel experiences.

Healthcare & Medical

Surgical video analysis, diagnostic imaging datasets, and patient monitoring footage to power clinical AI and improve care outcomes.

Security & Surveillance

Crowd management, intrusion detection, anomaly recognition, and continuous monitoring to enhance situational awareness and safety.

Sports & Media

Player performance tracking, automated highlight generation, broadcast analytics, and audience engagement insights using video data.

Agriculture & Agritech

Crop health monitoring, automated harvesting workflows, livestock tracking, and precision agriculture powered by video and sensor data.

Turn Your Results Into Our Next Milestone !

Overview

Operational Support for Growing AI Initiatives

As AI initiatives scale, annotation demands increase rapidly. Internal teams often face bottlenecks caused by manual labeling effort, evolving guidelines, and quality inconsistencies.

Our Solution