Pricing score

Labeling AI Pricing Profile

Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available.

HQ Location

Seoul, Republic of Korea

Category:

Key Takeaways

AI-Assisted Labeling

Labeling AI leverages pre-trained machine learning models to assist in the labeling process. These models can automatically generate suggestions for bounding boxes, polygons, or segmentation masks for objects in images, reducing the manual effort required for data annotation.

Bounding Boxes

Labeling AI supports bounding box annotations for object detection tasks, where the system marks objects in images or videos with rectangular boxes.

Large-Scale Annotation

Whether you're working with small datasets or scaling up to millions of data points, Labeling AI allows for efficient and consistent annotations at scale. This scalability is essential for companies looking to annotate large volumes of images, text, or video footage.

Product Overview

Labeling AI is a cutting-edge platform designed to streamline and automate the process of annotating data for machine learning and computer vision applications. With a focus on providing high-quality, scalable, and efficient data labeling services, Labeling AI helps businesses and developers create large, labeled datasets that are crucial for training AI models. The platform integrates machine learning models with human-in-the-loop workflows to improve annotation speed and accuracy, enabling faster development and deployment of AI solutions.

Labeling AI is particularly suited for industries requiring accurate annotations for large amounts of data, including healthcare, automotive, retail, security, and more.

INSIGHTS

Our insights about Labeling AI pricing

Free plan

Custom options

Pricing information is not available

Available Pricing Models

How much does Labeling AI cost?

Labeling AI offers 4 pricing plans for different needs but does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact Labeling AI directly through their website or speak with a sales representative.

What users say about Labeling AI pricing

Verified User

The auto outline feature for the image which auto detects edges

Verified User

The auto outline feature for the image which auto detects edges

Labeling AI Pricing Rating

Integration: 4.8/5

For automation and integration into existing workflows, Labeling AI provides API access, allowing businesses to integrate the labeling process into their custom machine learning pipelines.

Project Management Tools: 4.7/5

Labeling AI allows users to create customized workflows for different annotation projects. Depending on the size of the dataset or the complexity of the task, you can define roles, assign tasks, and automate processes to suit your project needs.

Data Privacy: 4.9/5

Labeling AI offers robust security features to protect sensitive data, ensuring compliance with industry regulations such as GDPR or HIPAA when dealing with personal or health-related data.

FAQ on Labeling AI Pricing

How does AI-assisted labeling work?

Labeling AI uses pre-trained machine learning models to automatically suggest annotations based on the input data. For example, the AI model might suggest bounding boxes around objects in images or transcribe spoken words in audio files. Human annotators review and refine these suggestions, ensuring high accuracy while reducing the manual effort involved in data labeling.

Can I collaborate with a team on annotation tasks?

Yes, Labeling AI supports real-time collaboration, allowing multiple annotators and reviewers to work on the same dataset simultaneously. The platform also enables progress tracking, task management, and role-based access control, ensuring efficient team workflows and smooth project management.

Is there an API for integrating Labeling AI with my machine learning pipeline?

Yes, Labeling AI provides an API that enables integration with existing machine learning pipelines and third-party applications. This allows for automation of annotation tasks and the seamless transfer of data between systems.

Can Labeling AI handle large datasets?

Yes, Labeling AI is designed to handle both small and large-scale datasets. The platform supports large volumes of data by using automated labeling, crowdsourcing, and efficient project management tools. This makes it ideal for annotating massive datasets for object detection, image segmentation, video analysis, and other AI tasks.