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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.

Read now

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.

Read now

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

Read now

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.

Read now

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.

Read now

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.

Read now

LABELING OPERATIONS

BUILDING AN AI ENGINE

Watch now

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.

Read now

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

Watch now

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.

Read now

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.

Read now

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

Lessons learned from my first year with a training data platform

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

Watch Now

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.

Read now

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

Lessons learned from my first year with a training data platform

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.

Read now

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

Read now

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.

Read now

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.

Read now

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.

Read now

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.

Read now
Read now

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

Watch nowWatch now

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

Read now

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.

Read now

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.

Read now

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.

Read now

LABELING OPERATIONS