Labelbox•August 9, 2021
Unlike many service providers and in-house labeling tools, you can start using Labelbox to create training data in a matter of minutes. To help you get familiar with our platform, we’ve created three short videos to introduce you to Labelbox and show you how our platform is set up.
Get a quick introduction to how organizations, projects, and roles work within Labelbox.
Learn about the different options for uploading data into Labelbox and managing data within Labelbox. To bring data into the platform, you can:
This video also covers the metadata that Labelbox creates for each asset uploaded, labeled, and iterated on within the platform.
You can set up your labeling workflow within minutes in Labelbox. The basic steps are:
In this video, you'll also learn about the configurable labeling interfaces, ontology building and cloning options, and quality management features.
Labelbox•June 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.