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Labellerr by Tensor Matics Inc.

Labellerr is a SaaS tool that provides automated workflow and project management capabilities to AI/machine learning teams managing their data labeling operation. It can be easily connected to users’ cloud infrastructure to import/export raw data and/or labeled data.

Why Labellerr?

High-Quality Data

Labellerr has built-in features that monitor and improve data quality during and after annotations. That ensures verifiable, high-quality data.

Fast Data Annotation

Labellerr helps users set up an automated workflow, enable active learning, and various model-assisted techniques to create labels 99x faster than fully manual workflows.

Easy to Use

With Labellerr’s intuitive interface, users can onboard themselves and their team members in just a few minutes. Import data, create tasks, add users, and get started on projects right away.

Key Features

Data Type Support

Labellerr supports all data modalities, such as 2D images, videos, PDFs, texts, audio, and geospatial images.

All Annotation Type Support

Labellerr supports object detection, segmentation, classification, transcription, speaker diarization, captioning, and entity recognition type annotation.

Import/Export Data from Multiple Sources

Connect directly to multiple cloud connectors such as AWS S3, GCS, Azure, Google Drive, and Dropbox to import and export data.

Generative AI-Powered Labeling

Integrated multimodal models to accelerate annotation tasks like captioning, object detection, transcription, and more.

Active Learning

Active learning-based auto labeling reduces manual effort and saves up to 60% of projects’ time and costs.

Fast and Robust Quality Control

Configure a quality control workflow from different built-in options. Guarantee data quality before using it in model training.

Additional Resources

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