Copyright 2021 - All Rights Reserved.
Privacy FAQ | Privacy Notice | Cookie Notice | CCPA Notice | Terms of Use
High quality training data is the key to launching performant ML models quickly.
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.
Building a better AI data engine
AI practitioners regularly face a few common challenges: too much time spent building and maintaining tools and infrastructure, siloed AI development efforts, and fragmented processes to evaluate quality.
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.
Related content
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.
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
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
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
Building a better AI data engine
AI practitioners regularly face a few common challenges: too much time spent building and maintaining tools and infrastructure, siloed AI development efforts, and fragmented processes to evaluate quality.
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
