AI ディレクトリ : AI API, AI Developer Tools, AI Productivity Tools, AI Workflow
What is Labelbox?
Labelbox is a comprehensive AI data factory that provides software and services to help AI teams build, operate, and staff their data operations. It is designed to generate high-quality training data at scale for any AI project and to evaluate AI model performance. Labelbox offers a complete set of data solutions for modern AI and ML development, serving companies from startups to Fortune 500s.
How to use Labelbox?
Users can explore the Labelbox platform through self-guided product tours, start using it for free, or contact the sales team to schedule a personalized meeting and demo. The platform provides tools for data labeling and model evaluation, and users can access managed labeling services or hire experienced AI trainers through Alignerr Connect to integrate into their existing processes.
Labelbox's Core Features
AI Data Factory software and services
Model Evaluation platform
Data Labeling software
Managed Labeling Services (Labelbox labeling services)
AI Trainer hiring (Alignerr Connect)
Post-training alignment tasks (Supervised Fine-Tuning, RLHF, Red Teaming)
Data Curation
Data Labeling Tools
Labelbox's Use Cases
Frontier models (AGI and beyond)
Task-specific models (images, video, text, PDF)
Model evaluation
Supervised fine-tuning (SFT)
Reinforcement learning (RLHF)
Red teaming
Agentic reasoning
Complex reasoning
Coding tasks
Multimodal reasoning
Image tasks
Audio tasks
Robotics
Computer Vision
Natural Language Processing (NLP)
FAQ from Labelbox
What is Labelbox?
What services does Labelbox offer?
What types of AI models and tasks does Labelbox support?
How can Labelbox help improve AI model performance?
Labelbox Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://labelbox.com/sales)
Labelbox Company
Labelbox Company name: Labelbox, Inc. .
Labelbox Company address: .
More about Labelbox, Please visit the about us page(https://labelbox.com/company/about).
Labelbox Login
Labelbox Login Link: https://app.labelbox.com
Labelbox Sign up
Labelbox Sign up Link: https://app.labelbox.com/signup
Labelbox Pricing
Labelbox Pricing Link: https://labelbox.com/sales
Labelbox Linkedin
Labelbox Linkedin Link: https://www.linkedin.com/legal/privacy-policy
Labelbox Twitter
Labelbox Twitter Link: https://twitter.com/en/privacy
Labelbox Github
Labelbox Github Link: https://docs.github.com/en/github/site-policy/github-privacy-statement
FAQ from Labelbox
What is Labelbox?
Labelbox is a comprehensive AI data factory that provides software and services to help AI teams build, operate, and staff their data operations. It is designed to generate high-quality training data at scale for any AI project and to evaluate AI model performance. Labelbox offers a complete set of data solutions for modern AI and ML development, serving companies from startups to Fortune 500s.
How to use Labelbox?
Users can explore the Labelbox platform through self-guided product tours, start using it for free, or contact the sales team to schedule a personalized meeting and demo. The platform provides tools for data labeling and model evaluation, and users can access managed labeling services or hire experienced AI trainers through Alignerr Connect to integrate into their existing processes.
What services does Labelbox offer?
Labelbox offers a platform for data labeling and model evaluation, managed labeling services, and a network to hire experienced AI trainers through Alignerr Connect.
What types of AI models and tasks does Labelbox support?
Labelbox supports frontier models and task-specific models (images, video, text, PDF). It also facilitates use cases such as complex reasoning, multimodal reasoning, coding, image, audio, and robotics tasks, as well as Computer Vision and Natural Language Processing.
How can Labelbox help improve AI model performance?
Labelbox helps improve model performance through accurate human evaluations, supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF), and red teaming to proactively identify and address vulnerabilities.