Unitlab offers a collaborative, AI-powered data annotation platform that utilizes auto-annotation tools to enhance labeling efficiency by 15 times while reducing costs by 80%. The platform addresses the challenge of slow and expensive data preparation for machine learning by enabling seamless collaboration between AI and human annotators for high-quality dataset creation.
Funding
$110K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Preparing data for machine learning models is often slow and expensive, requiring extensive manual effort. Traditional data annotation processes lack efficient collaboration tools, hindering the creation of high-quality datasets needed for effective AI development.
Solution
Unitlab offers an AI-powered data annotation platform designed to streamline the data preparation process for machine learning. The platform facilitates seamless collaboration between AI and human annotators, enhancing labeling efficiency through advanced auto-annotation tools. By automating data collection and providing a collaborative environment, Unitlab optimizes annotation workflows, controls data quality, and reduces the overall cost associated with creating training datasets. The platform supports various computer vision tasks with a range of annotation types and offers features such as project management, dataset management, and team collaboration.
Target Audience
Unitlab is designed for AI developers, data scientists, and machine learning engineers who need to create high-quality, annotated datasets for computer vision applications.
Features
- AI-assisted annotation tools, including Segment Anything Model (SAM) and domain-specific pretrained models
- Automated annotation for OCR tasks, supporting document, receipt, handwritten, and education OCR in 123 languages
- Pretrained object detection and recognition models for instant annotation of objects
- Automated annotation for pose, skeleton, and multi-keypoint detection tasks
- Auto-annotation tools for precise polygon annotation of any object
- Automated polyline detection and segmentation models
- Performance analytics to track project and team statistics, and data annotation insights
- CLI/SDK for managing data annotation projects from the command line
- Version control to track every annotator's action and maintain a clear project history
- Workspace management for creating unlimited workspaces based on project needs