Labelbox: AI Data Labeling Platform

Labelbox

AI Data Labeling & Model Building Platform

What is Labelbox
Labelbox is the data labeling platform for data-centric AI development. It can simplify your work process, from organizing and enriching data to building and evaluating models. Its intuitive tools allow you to label diverse data types, such as images, videos, and text, with help from AI technology, making the process faster and more efficient.

Labelbox collaborates with smooth coordination of internal or external labeling teams in one place helping you collaborate and manage the project. Make your workflows more flexible to fit your team’s needs. Ensures the tasks are routed to the right people at the right time. Labelbox’s automation features, including pre-trained models, help you to automate the labeling tasks and save valuable time and resources.

How to use Labelbox?

Labelbox is a powerful data labeling platform that simplifies creating high-quality training data for your AI models. To get started:

  • Sign up for a Labelbox account.

  • Create a New Project. You will need to specify the type of data you will be labeling for example images, videos, text, and the name of your project.  

  • Import your Data into Labelbox. Labelbox supports various data formats, including images, videos, audio files, and text documents. 

  • Create an Ontology. An ontology is a clear and thoughtful definition of how your unstructured data should be annotated for use in training models. It will help to ensure that your data is labeled consistently and accurately. 
 
  • Invite Team Members to collaborate on your labeling project. Labelbox allows you to assign different permissions to team members to control who can access and modify your data.  

  • Label your Data. Labelbox provides a variety of tools for labeling data, including bounding boxes, polygons, key points, and text labels.  

  • Export your Labeled Data. Once you have finished labeling your data, you can export it from Labelbox in a format that can be used to train your machine learning model.

Technical Highlights:

  • Intuitive Annotation Tools: Labelbox provides an easy-to-use interface with a wide range of annotation tools, including bounding boxes, polygons, key points, and text labels, making it easy for users to label different types of data correctly.

  • AI-Assisted Labeling: To increase efficiency, Labelbox incorporates AI-assisted labeling features such as automatic labeling suggestions and active learning, which can greatly reduce labeling time and effort.

  • Robust Data Management: The platform offers strong data management capabilities, it allows users to easily organize, search, and manage large datasets. It includes features like version control and data lineage tracing to ensure data integrity.

  • Scalable Infrastructure: Labelbox is built on a scalable infrastructure that can handle large-scale labeling projects, tailored to the needs of both small and enterprise-level organizations.

  • Integration with AI Frameworks: The platform seamlessly integrates with popular AI frameworks such as TensorFlow, PyTorch, Keras, etc. This makes it easier for data scientists and machine learning engineers to incorporate labeled data into their models.
Features
  • AI-powered Labeling Tools: Labelbox provides AI-powered tools to simplify the data labeling process with active learning and automated solution suggestions for better accuracy.

  • Collaborative Labeling Environment: Work effectively with internal and external labeling teams and assign tasks easily with Labelbox's collaborative data labeling platform. 

  • Detailed Analytics and Insights: Labelbox lets you track progress, identify bottlenecks, and improve your labeling productivity.

  • Customizable Workflows: Customize your data labeling workflows to match your team's needs. Create workflows that fit your project and improve task management.

  • Pre-built Integrations: Integrate Labelbox with your existing data management and data storage systems for a smooth workflow.
Benefits
  • Improved data quality: Labelbox's AI tools ensure high-quality labeling, leading to more accurate and efficient machine learning models.

  • Increased Efficiency: The platform's automation and easy interface speed up labeling, helping teams work faster and more efficiently.

  • Improved Collaboration: Labelbox promotes teamwork, making it easier to manage large projects and maintain consistent labeling.

  • Scalability: Labelbox data labeling platform is designed to scale according to the needs of your project. It supports both small and large labeling needs. 

  • Cost efficiency: By automating repetitive tasks, Labelbox helps cut labeling costs and boost ROI.

Labelbox, the leading data labeling platform, offers a comprehensive solution for organizations looking to improve their AI development processes, offering advanced features such as AI-assisted labeling, collaboration tools, and more. And powerful data management capabilities, LabelBox helps teams create high-quality training data efficiently. Whether you're a small startup or a large enterprise, Labelbox can help you accelerate your AI projects and reach your goals.
Pricing
Labelbox AI-powered data labeling platform offers three pricing plans: 

  • Free: 500 Labelbox units per month for free. For individuals learning about datasets.

  • Starter: $0.10 per Labelbox unit. Perfect for teams making their first intelligent app.

  • Enterprise: A Data-centric AI platform for teams building multiple intelligent apps. 
You can contact the sales team for customized features and pricing details.

The Free tier is limited to 500 Labelbox units per month. 

Has Free Trial (500 Labelbox units per month)

Starts from : $0.10 per Labelbox unit

The latest revision of this document was made on 17 September, 2024.

Categories
Web Apps Data Annotation Data Labeling Software Natural Language Processing Cloud-computing
Tags
data labeling software integration web apps ai data labeling for teams ai-powered data labeling automated machine learning data cloud platform data management natural language processing nlp

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