Automation

Labelbox • Jul 6, 2022

Use automation to reduce your labeling time and spend

Labelbox is excited to introduce our image auto-segmentation tool to help teams quickly generate and edit quality segmentation masks in seconds.

Active Learning

Labelbox • Jun 24, 2022

6 key best practices for AI teams to save time when creating AI data

Wading through a vast amount of unstructured data to accurately annotate assets requires a tremendous amount of patience, organization, and time. Learn six key time-saving practices for ML teams to implement when handling AI data.

Automation

John Thomas • Nov 4, 2020

Tutorial: Use model-assisted labeling to improve speed and accuracy

Follow this tutorial to learn how model-assisted labeling can improve labeling speed and accuracy using your own model.

Automation

Brian Rieger • Oct 30, 2020

Automating Computer Vision Annotation: Let Your Model Do The Work.

Discover the 3 basic ways to automate labeling depending on how aware the method is of the data to be labeled.

Automation

Labelbox • Oct 23, 2020

Automate labeling with your own model

Model-assisted labeling from Labelbox is the fastest way to improve model performance. Reduce labeling costs by up to 50-70% with your own model.

Iterate and ship models faster with our newest features

3 Things we learned at CVPR 2022

Use automation to reduce your labeling time and spend

How VirtuSense built an AI data engine that dramatically increased model performance

Use automation to reduce your labeling time and spend

6 key best practices for AI teams to save time when creating AI data

Tutorial: Use model-assisted labeling to improve speed and accuracy

Automating Computer Vision Annotation: Let Your Model Do The Work.

Automate labeling with your own model