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Labellerr
Accelerate AI development with intelligent data labeling and team collaboration.
About Labellerr
Labellerr is an advanced computer vision workflow automation platform engineered to streamline the entire AI development lifecycle. The platform enables machine learning teams to efficiently manage data labeling at scale, facilitate seamless collaboration across teams, and accelerate model iteration cycles. Labellerr reduces manual labeling overhead through intelligent automation features, quality assurance mechanisms, and version control for labeled datasets. By centralizing data management and annotation workflows, organizations achieve faster time-to-market for computer vision models while maintaining high accuracy standards. When deployed through AiDOOS, Labellerr benefits from enhanced governance frameworks, optimized resource allocation, and integrated scaling capabilities that ensure consistent performance across distributed teams. The platform supports multiple annotation types including bounding boxes, polygons, segmentation masks, and classification tags—catering to diverse computer vision use cases from object detection to semantic segmentation.
Challenges It Solves
- Manual data labeling processes consume excessive time and resources, delaying model development
- Lack of centralized collaboration tools leads to inconsistencies and rework in annotation quality
- Scaling labeling operations across distributed teams introduces coordination and quality control challenges
- Version control and audit trails for labeled datasets remain fragmented across tools
Use Cases
Autonomous Vehicle Development
Annotation of road scenes, pedestrians, vehicles, and traffic signals for self-driving car models. Teams collaborate on large-scale dataset labeling with strict quality requirements.
Medical Image Analysis
Labeling of X-rays, CT scans, and pathology images for diagnostic AI models. Ensures regulatory compliance with complete audit trails and quality control.
E-Commerce Product Recognition
Annotation of product images for visual search and recommendation systems. Scale labeling operations across global teams with unified quality standards.
Industrial Defect Detection
Labeling of manufacturing inspection images to train quality control models. Real-time collaboration between quality assurance and engineering teams.
Pricing
Pricing available on request
Labellerr pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Enable real-time team annotation with unified visibility
Multiple teams annotate simultaneously with synchronized updatesAutomated validation and consensus-based review
Reduce annotation errors by up to 40% through smart QAStreamline repetitive tasks with rule-based automation
Eliminate manual task routing and assignment overheadTrack all changes and maintain annotation history
Complete audit compliance and reproducibility for modelsSupport diverse annotation types and data formats
Handle bounding boxes, polygons, masks, and classificationsMonitor team performance and labeling metrics
Data-driven decisions improve labeling efficiencyReviews
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Enterprise Readiness
Integrations
8 total appsDirect integration for storing and retrieving large-scale image datasets from cloud storage
Seamless data pipeline for accessing and managing labeled datasets in GCP environment
Export labeled datasets in TFRecord format for direct model training integration
Compatible dataset export formats for PyTorch-based computer vision model training
Integration with OpenCV for advanced image preprocessing and validation workflows
Team notifications for project updates, QA reviews, and labeling task completions
Project tracking integration for managing labeling sprints and team assignments
Custom API webhooks for event-driven automation with external systems
AiDOOS Managed Deployment
Deploy Labellerr 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 Labellerr
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 Labellerr
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