AI Data Labeling And Training Tool

What is labelbox.com?

Labelbox.com is a web-based platform designed to facilitate the development of data-centric AI applications. This tool empowers users with the capabilities to effectively navigate, preprocess, assess, and improve their datasets by employing both human and machine-assisted workflows. In addition, Labelbox.com grants users access to cutting-edge AI models to aid in tasks related to data labeling and data enrichment. Notably, Labelbox.com caters to a diverse clientele comprising companies spanning various sizes and industries, including agriculture, retail, healthcare, and technology. For further information about Labelbox.com, you can visit their website or explore their blog.

How much does labelbox.com cost?

Labelbox.com is a data-centric AI platform tailored for the development of intelligent applications. It offers a range of plans and pricing structures to accommodate the specific needs and objectives of its users:

• Free Plan: Ideal for small teams and individuals conducting early-stage experiments. This plan provides access to all Labelbox products, including Catalog, Annotate, and Model, with a usage cap of 10,000 LBUs (Labelbox Units). Notably, there are no platform fees associated with this plan.
• Starter Plan: Geared towards small teams and individuals engaged in the development of a few machine learning models. This plan operates on a pay-as-you-go monthly model with tiered LBU pricing. Similar to the Free Plan, there are no platform fees. Users also gain access to customer support and the option for on-demand labeling services with Boost Express. The first 10,000 LBUs used each month are offered free of charge.
• Standard Plan: Designed for growing teams working on the development and enhancement of production models. The Standard Plan offers unlimited user access, prioritized service level agreements (SLAs), and access to Solution Architects. Users can benefit from bulk discounts for Boost Express services.
• Enterprise Plan: Tailored for organizations aiming to accelerate multiple machine learning initiatives. The Enterprise Plan includes all features available in the Standard Plan, with additional perks such as three workspaces, single sign-on capabilities, managed support services, and managed labeling services with Boost.

Labelbox Units (LBUs) serve as the metric for consumption and are dependent on the data used within each product. The cost per LBU decreases as the volume of data increases. Here is the breakdown of data row types and their corresponding LBUs:

• Image, Text, JSON, Audio: 1 LBU per data row for Catalog, Annotate, and Model.
• Document: 1 LBU per page for Catalog, Annotate, and Model.
• Video: 1 LBU per data row + 1 LBU per 10 frames for Catalog and Model; 1 LBU per labeled frame (keyframe) for Annotate.
• Geospatial & Medical Tiled Imagery: 10 LBUs per data row for Catalog, Annotate, and Model.

To estimate monthly LBUs consumption, users can utilize the sliders on the Labelbox website. Furthermore, Labelbox offers on-demand labeling services, which begin at a rate of $8 per hour, enabling users to pay solely for the time during which labeling activities occur. Additionally, Labelbox extends free usage for non-commercial research to qualified educational institutions.

What are the benefits of labelbox.com?

Labelbox.com offers several noteworthy advantages to its users:

• Centralized Data Management: Users can conveniently explore, visualize, and manage diverse data types from various sources, all within a single unified platform.
• AI-Driven Labeling and Enrichment: The platform harnesses the power of AI models to streamline the processes of data labeling and enrichment, incorporating foundational AI models for enhanced efficiency.
• Flexible Workflow Integration: Labelbox.com facilitates the fusion of human and machine-assisted workflows, allowing for adaptable and comprehensive data processing.
• Effective Data Evaluation: Users can assess the efficacy of their data within AI models, aiding in the refinement and optimization of their machine learning models.
• Collaborative Environment: The platform supports collaboration among users and experts, enabling the creation and sharing of high-quality training data, which is pivotal for machine learning projects.
• Accelerated Application Development: Labelbox.com expedites the development of intelligent applications across a multitude of domains, including vision, language, and generative AI, simplifying the path to innovation and deployment.

Can I try a demo of Labelbox.com?

Certainly, you have multiple options to experience Labelbox.com:

• Live Demo: You can access a live demo of Labelbox.com by visiting their website and clicking on the ""Start for free"" button. This provides a hands-on opportunity to explore the platform's capabilities.
• Recorded Demo: If you prefer a recorded demonstration, Labelbox offers the option to watch a pre-recorded demo of the platform in action. This can be a convenient way to get a detailed overview.
• Public Demo Workspace: To see Labelbox products in action within a practical context, you can explore their public demo workspace. This allows you to witness how Labelbox's tools and features work collaboratively.

Labelbox.com is renowned for its proficiency in constructing intelligent applications through data-centric AI, making it a valuable resource for those seeking to leverage AI in their projects.

How do I get started with labelbox.com?

Labelbox stands as a data-centric AI platform that specializes in the creation of intelligent applications. It excels in aiding users with the management and enhancement of training data intended for machine learning models. To embark on your journey with Labelbox, the following steps can be taken:

1. Sign Up: To initiate your Labelbox experience, you can commence by signing up for a free account on their website. Alternatively, if your needs are more specific, you have the option to request a demo.
2. Organize: Within Labelbox, you are prompted to establish an organization, which serves as your enterprise or organization's account. Subsequently, create a project within Labelbox. A project is where you configure your labeling workflow tailored to a particular data type or model.
3. Data Integration: Labelbox offers versatility in data integration. You can upload your data directly to the platform or seamlessly connect it from your preferred cloud storage. Labelbox accommodates a variety of data types, encompassing images, videos, text, documents, audio, JSON, geospatial data, and medical tiled imagery.
4. Labeling Interface: You have the choice to select a labeling interface from a range of predefined templates or opt for a customized interface using the Labelbox Editor, tailored to your specific needs.
5. Ontology Definition: Define the labels and attributes for your data by creating or attaching an ontology. An ontology serves as a structured framework encompassing concepts and categories that describe your data and the interrelationships between them.
6. Quality Management: Optionally, configure quality management workflows, including consensus, review, and benchmarking, to ensure the precision and consistency of your labels.
7. Labeling Process: Initiate the labeling of your data manually or leverage Labelbox Boost to access on-demand labeling services staffed by professional annotators.
8. Model Training and Evaluation: Employ Labelbox Model to train, evaluate, and enhance your machine learning models. The platform facilitates integration with popular frameworks such as PyTorch, TensorFlow, and Hugging Face. Alternatively, you can connect your own custom model using the provided API.
9. Model Analysis: To scrutinize your model's performance and identify errors, Labelbox Model Metrics and Gallery View are at your disposal. Additionally, Labelbox Catalog empowers you to search and filter your data based on labels, metadata, and model predictions.

To further acquaint yourself with the platform, Labelbox offers bite-sized videos and comprehensive guides, both of which serve as valuable resources to enhance your proficiency in utilizing Labelbox for various use cases.

What is Labelbox and how does it benefit AI teams?

Labelbox is a data-centric AI platform designed to enhance the development of intelligent applications by providing tools for data management, labeling, and enrichment. AI teams benefit from Labelbox by accessing centralized data management, AI-driven labeling, flexible workflow integrations, effective data evaluations, collaborative environments, and accelerated application development. These features streamline processes for managing and optimizing data for machine learning models.

How does Labelbox's partnership with Google Cloud benefit users?

The partnership between Labelbox and Google Cloud allows users to leverage a fully managed Large Language Model (LLM) evaluation solution integrated into the Vertex AI platform. This enables Google Cloud customers to efficiently launch human evaluation jobs, set specific evaluation criteria, and receive quality results quickly. This collaboration enhances the accuracy of LLM applications by incorporating human evaluations, delivering high-quality performance insights within a short timeframe.

What solutions does Labelbox offer for model training and evaluation?

Labelbox offers comprehensive solutions for model training and evaluation by providing tools for data curation, AI-assisted labeling, model training and diagnostics, and labeling services. The platform caters to task-specific models and frontier models, enabling faster and more efficient development of AI products. With AI-assisted alignment for data curation, labeling, and quality assurance, Labelbox optimizes processes to achieve better quality control and maximize throughput in model evaluation.