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Want to learn more about Labelbox?
Labelbox’s fully configurable platform enables teams to create and manage ML training data as quickly as possible.
Labelbox provides a suite of collaboration, analytics, and labeling automation tools to help keep your training data costs down while making the process repeatable, predictable, and less painful.
LABELING AUTOMATION
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
LABELING OPERATIONS
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
Training Data Platforms 101
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
TRAINING DATA MANAGEMENT
LABELING AUTOMATION
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
LABELING OPERATIONS
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
LABELING OPERATIONS
BUILDING AN AI ENGINE
Building a Better AI Data Engine
Building an effective "data engine" within your organization allows you to improve your model more quickly and reliably. Learn how a training data platform enables you to fuel that engine by harnessing active learning, collaboration, and full transparency into your ML workflow.
BUILDING AN AI ENGINE
Labelbox Accelerate
Access every session from our annual flagship event. Labelbox Accelerate is a forum for data practitioners and leaders to discuss the best practices associated with building an effective AI program. Become a better AI builder by learning from the world’s top AI and machine learning experts today.
BUILDING AN AI ENGINE
Building a Better AI Data Engine
Building an effective "data engine" within your organization allows you to improve your model more quickly and reliably. Learn how a training data platform enables you to fuel that engine by harnessing active learning, collaboration, and full transparency into your ML workflow.
BUILDING AN AI ENGINE
Labelbox Accelerate
Access every session from our annual flagship event. Labelbox Accelerate is a forum for data practitioners and leaders to discuss the best practices associated with building an effective AI program. Become a better AI builder by learning from the world’s top AI and machine learning experts today.
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
LABELING AUTOMATION
Learn how organizations are successfully moving from a proof of concept to large scale deployment of their ML programs utilizing a training data platform.
Speakers:
Hong Noh: Senior Product Manager, Criteo
Matthew McAuley: Senior Data Scientist, Allstate
Related content
BUILDING AN AI ENGINE
Building a Better AI Data Engine
Building an effective "data engine" within your organization allows you to improve your model more quickly and reliably. Learn how a training data platform enables you to fuel that engine by harnessing active learning, collaboration, and full transparency into your ML workflow.
TRAINING DATA MANAGEMENT
Building a Better AI Data Engine
Building an effective "data engine" within your organization allows you to improve your model more quickly and reliably. Learn how a training data platform enables you to fuel that engine by harnessing active learning, collaboration, and full transparency into your ML workflow.
High quality training data is the key to launching performant ML models quickly.
Copyright 2021 - All Rights Reserved.
Privacy FAQ | Privacy Notice | Cookie Notice | CCPA Notice | Terms of Use
Related content
Learn how organizations are successfully moving from a proof of concept to large scale deployment of their ML programs utilizing a training data platform.
Speakers:
Hong Noh: Senior Product Manager, Criteo
Matthew McAuley: Senior Data Scientist, Allstate
LABELING OPERATIONS
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
Training Data Platforms 101
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
TRAINING DATA MANAGEMENT
LABELING AUTOMATION
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
LABELING OPERATIONS
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
LABELING OPERATIONS
LABELING AUTOMATION
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
LABELING AUTOMATION
BUILDING AN AI ENGINE
BUILDING AN AI ENGINE
Labelbox Accelerate
Access every session from our annual flagship event. Labelbox Accelerate is a forum for data practitioners and leaders to discuss the best practices associated with building an effective AI program. Become a better AI builder by learning from the world’s top AI and machine learning experts today.
Labelbox Accelerate
Access every session from our annual flagship event. Labelbox Accelerate is a forum for data practitioners and leaders to discuss the best practices associated with building an effective AI program. Become a better AI builder by learning from the world’s top AI and machine learning experts today.
Training Data Platforms 101
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
TRAINING DATA MANAGEMENT
LABELING AUTOMATION
Guide to Labeling Automation
Data science teams spend a disproportionate amount of their time processing, labeling and augmenting training data. Training data platforms can help free up time so they can focus on building the actual structures which they were tasked to create.
LABELING OPERATIONS
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
Mastering Labeling Operations
Brian Rieger, Labelbox Co-Founder and President, discusses governing a labeling operation through the throughput, efficiency, and quality (TEQ) framework first established in manufacturing processes.
LABELING OPERATIONS