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KeyLabs
Enterprise-grade visual data annotation platform for scaling AI and ML projects
About KeyLabs
KeyLabs is a next-generation visual data annotation platform purpose-built to streamline and scale image and video labeling for artificial intelligence and machine learning initiatives. The platform provides powerful, intuitive annotation tools including bounding boxes, polygons, semantic segmentation, instance segmentation, keypoint detection, and video frame tracking, enabling teams to efficiently label training datasets at scale. KeyLabs enables collaborative workflows with role-based access, quality assurance mechanisms, and project management capabilities essential for enterprise teams. When deployed through AiDOOS, KeyLabs benefits from outcome-based execution and scalable infrastructure management, allowing organizations to dynamically adjust annotation resources based on project demands. AiDOOS enhances KeyLabs deployment with automated governance, optimized cost management, seamless integration with ML pipelines, and enterprise-grade support, enabling companies to accelerate time-to-model while maintaining data security and compliance standards across distributed annotation teams.
Challenges It Solves
- Scaling image and video annotation for large machine learning datasets requires significant manual effort and coordination
- Maintaining consistency and quality across distributed annotation teams while managing varying skill levels
- Integrating annotation platforms with existing ML pipelines and model training workflows
- Ensuring data security, compliance, and audit trails for sensitive computer vision projects
- Managing costs and resource allocation for variable-scale annotation workloads
Use Cases
Autonomous Vehicle Development
Annotate road scenes, pedestrians, vehicles, and traffic signals for self-driving car perception models. Teams can efficiently label thousands of video frames for object detection and semantic segmentation tasks.
Medical Imaging Analysis
Label X-rays, CT scans, and MRI images for diagnostic AI model training. Compliance features ensure HIPAA-ready workflows with secure data handling and audit trails.
Retail & E-Commerce
Annotate product images and shelf images for visual search, inventory management, and quality control AI systems. Coordinate teams across multiple locations for consistent product labeling.
Manufacturing Quality Inspection
Label defects, anomalies, and component variations in production line imagery. Create training datasets for automated visual inspection systems that improve quality control.
Agricultural Computer Vision
Annotate crop health, disease detection, and weed identification images. Scale dataset preparation for precision agriculture AI solutions.
Pricing
Pricing available on request
KeyLabs pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Support for diverse annotation types including bounding boxes, polygons, segmentation, and keypoints
Enable comprehensive labeling for any computer vision taskEfficient frame-by-frame and object tracking annotation for video datasets
Reduce video annotation time by up to 60% versus manual frame labelingTeam-based project management with role-based access and task assignment
Coordinate distributed teams with transparent progress tracking and accountabilityBuilt-in consensus mechanisms, review cycles, and annotation validation
Maintain 98%+ accuracy standards across large-scale annotation projectsRESTful APIs and webhooks for seamless ML pipeline integration
Automate data flows from annotation to model training environmentsSOC2 certified, ISO 27001 compliant with data residency and audit logging
Meet regulatory requirements for regulated industries and data governanceReviews
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Enterprise Readiness
Integrations
8 total appsDirect integration with TensorFlow training pipelines for seamless model training on annotated datasets
Export annotated data in PyTorch-compatible formats for computer vision model development
Native AWS integration for cloud-based scalability, S3 storage connectivity, and SageMaker workflow automation
Azure integration for enterprise deployments with Blob Storage and Azure ML pipeline connectivity
GCP integration including BigQuery export and Vertex AI model training connectivity
Interoperability with Computer Vision Annotation Tool for format compatibility and workflow flexibility
Integration for automated dataset versioning, augmentation, and model deployment
Native integration enabling outcome-based execution, cost optimization, and enterprise governance
AiDOOS Managed Deployment
Deploy KeyLabs in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for KeyLabs
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers KeyLabs
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists