Labellerr streamlines AI data labeling, enabling AI teams to prepare high-quality labels up to 99 times faster. With its automated annotation engine, advanced analytics, and smart QA, Labellerr processes millions of images and hours of video in just weeks, accelerating model development for vision, NLP, and LLM models. It integrates seamlessly with your existing data pipeline, providing a flexible and scalable solution for businesses across industries.
Key Features:
- Automated labeling using prompt-based, model-assisted, and active learning techniques
- Supports multiple data types including images, videos, PDFs, text, and audio
- Smart QA to ensure 99.5% label accuracy
- MLOps integration with major platforms like AWS Sagemaker, GCP Vertex AI, and custom environments
- Project management with advanced analytics and comprehensive reporting tools
- 24/7 customer support with fast response times
- Enterprise-grade security with encryption and strict access controls
Disclaimer: Please refer to the website for the most accurate and current pricing details and service offerings.
Best for:
- AI and ML teams working with large-scale datasets
- Companies needing rapid and accurate data labeling for computer vision or NLP models
- Organizations looking to integrate automated data annotation with their existing workflows
- Businesses aiming to reduce development costs and time to market
- Teams seeking a secure, scalable solution for data labeling across various industries
- Research institutions needing precise labeling for academic or commercial projects
Labellerr’s powerful labeling engine can transform your AI workflows, enabling faster, more efficient model training and data preparation.
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