LinkedAi is a data labeling platform that utilizes AI-driven curation and annotation services to produce high-quality datasets for machine learning applications. By streamlining the data collection and validation processes, LinkedAi significantly reduces the time required for model training and enhances the performance of AI systems.
Funding
$5M 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
Training high-performing machine learning models requires large, accurately labeled datasets, but manual data annotation is time-consuming and prone to human error. Existing data labeling processes often lack the efficiency and precision needed to rapidly develop and deploy computer vision applications.
Solution
LinkedAI offers an AI-powered data labeling platform that streamlines the creation of high-quality training datasets for machine learning. The platform leverages AI-driven curation and an in-house team of trained annotators to accelerate the data collection, filtering, and validation processes. Its "Magic Tool" uses Meta's Segment Anything Model (SAM) for automatic image segmentation, enabling users to rapidly identify and outline objects within images. The platform also incorporates a rigorous QA process with a proprietary tool customized to user workflows, ensuring data is managed across different user roles for comprehensive quality assurance review.
Target Audience
LinkedAI targets machine learning engineers, computer vision enthusiasts, and AI developers across industries including robotics, retail, automotive, agriculture, and healthcare.
Features
- AI-powered data curation to filter and prioritize the most valuable data for labeling
- Automatic image segmentation using the "Magic Tool" powered by Meta's SAM
- Interactive preview for users to visualize and refine segmentations with positive and negative points
- In-house team of trained data labelers capable of handling diverse data challenges
- Dedicated project manager and collaborative sessions with solutions engineers and QA agents
- Proprietary QA tool customized to user workflows for comprehensive quality assurance
- Support for image, video, and 3D point cloud data annotation
- Integration with computer vision models like Mask R-CNN via Detectron2