Labellerr is a cutting-edge SaaS platform that empowers organizations to efficiently label and organize data for AI model training. Specializing in automated data labeling, Labellerr accelerates the development of high-quality training datasets for machine learning projects. Our platform offers a user-friendly interface for labeling images, text, and videos, with advanced features like video annotation using Segment Anything Model 2 (SAM 2) and specialized solutions for sports analytics and computer vision use cases.
Labellerr supports collaborative workflows, enabling multiple users to label data simultaneously and track progress in real time. Our seamless integration with popular machine learning frameworks ensures smooth data export and model training. With robust quality control features, Labellerr guarantees high accuracy and consistency in labeled data.
Trusted by AI teams and enterprises in the US market, Labellerr provides scalable annotation services, helping organizations improve model performance and achieve their AI goals faster.
TensorMatics
2017
United States
11-50
24x7 Support
Data Capture and Transfer
