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What is Labellerr?
Labellerr is a data labeling and image annotation software designed to accelerate the preparation of high-quality labeled datasets for AI and machine learning models. Built by a team focused on optimizing AI workflows, Labellerr addresses the challenge of slow and costly data annotation by combining automated annotation, advanced analytics, and smart quality assurance. It supports multiple data types including images, videos, text, and audio, making it versatile for various AI projects such as vision, NLP, and large language models. The platform integrates seamlessly with cloud services like AWS, GCP, and Azure, and offers an SDK for programmatic pipeline automation. Labellerr is ideal for AI teams, data scientists, and enterprises looking to reduce labeling time by up to 90% while maintaining 99% accuracy, enabling faster model training and deployment.
AI Tool Review Summary
4.6/5
High accuracy with consistent quality
Clean, intuitive, and user-friendly
LLMNLPComputer VisionActive Learning
To provide fast, accurate, and scalable data labeling for AI model training.
Works with major cloud platforms and integrates via SDK into ML pipelines.
Freemium model with paid tiers offering advanced features and higher usage limits.
Features with the highest value for users are highlighted here.
Automated annotation
Advanced analytics and smart QA
SDK for pipeline integration
Support for multiple data types
Native SAM integration
Pre-annotation upload and refinement
Enterprise-grade security
Multi-format ML-ready export
AI Research Teams
Machine Learning Engineers
Data Scientists
Enterprises
Startups
Computer Vision Specialists
NLP Developers
Robotics Engineers
Product Managers
Small to Medium Teams
Free Trial
$0/free
14-day access Basic annotation tools Limited data volume
Popular
Pro
$19/monthly
Full annotation features SDK access Higher data limits Priority support
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Significantly reduces labeling time with automation. High accuracy with strong quality control and analytics.
May require initial setup time to integrate with existing pipelines. Advanced features might have a learning curve for new users.
FAQs
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Rating
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