In Labelo, projects serve as the basis for all labeling tasks. To start labeling your data, the first step is to set up a project. Labelo’s projects accommodate different data such as images, video, audio, text, and so on. So that it could be known as an image labeling tool, video annotation software, audio annotation tool, and text labeling tool respectively.
Once the project is published, annotators can immediately begin labeling tasks. After successful annotation, reviewers can evaluate the tasks. You can customize the review and annotation settings in the project settings to meet your specific needs.
To get started with a new project, click the “Create Project” button.
A modal will open with three tabs: “Project Name,” “Data Import,” and “Labeling Setup.”
Required Information: Enter the project name and select a workspace. You can also provide an optional project description.
After entering the details, you can either click “Save” to create the project or move on to complete the additional tabs.
Upload Files: Set up how you import data files into your project. Choose from options such as direct file uploads, cloud storage integration, or other methods suited for large datasets.
Configure Labeling: Select and set up templates for different types of data labeling tasks.
Labelo provides a variety of templates, including those for image, audio, video, and text processing.
Once you’ve completed the setup, click “Save.”
To add new members to your project and grant them access, follow these steps:
To publish your project and make it active, follow these steps:
Labelo simplifies project setup and management by guiding you through creating a project, importing data, and customizing settings. After adding team members and publishing, annotators can start labeling while reviewers ensure quality. Its flexible features streamline the data labeling process for better efficiency.
Efficiently managing projects in Labelo requires a blend of strategic planning, effective communication, and leveraging the platform’s robust features. This guide walks you through the essential steps to organize your tasks, set clear goals, track progress, and collaborate with your team seamlessly. Whether you’re juggling multiple projects or focusing on a single initiative, Labelo’s tools can help streamline workflows, optimize resource allocation, and ensure timely delivery. Mastering these techniques will empower you to achieve your project objectives efficiently and effectively.
Dec 6, 2024
How to Improve Model Accuracy Through Quality Data Annotation in Labelo
How to Annotate Text Data for Natural Language Processing (NLP) using Labelo
How to Create a Project Template in Labelo
How Labelo Simplifies Data Annotation for Machine Learning Projects in 2025
Related Posts
How to Annotate Text Data for Natural Language Processing (NLP) using Labelo
Labeling text data is a crucial step in preparing datasets for Natural...How Labelo Simplifies Data Annotation for Machine Learning Projects in 2025
Data annotation is a vital step in creating reliable and high-performi...How to Manage Your Project Annotation Settings in Labelo
Annotation Settings in Labelo allow you to control how tasks are label...An Overview of Labelo Keyboard Shortcuts
To maximize efficiency, Labelo offers a range of keyboard shortcuts th...