Labelbox is primarily a training data platform that offers the following features:
A user-friendly, customizable platform for labeling images, video, text, and geospatial data.
Data management tools that allow you to search and filter across all of your data in Labelbox to efficiently select data for labeling.
A way to import annotations to Labelbox via our Model-assisted labeling (MAL) workflow.
Extensive team collaboration & QA tools.
Dashboards to monitor and manage team performance.
A labeling workforce that you can integrate into your plan.
With our out-of-the-box labeling application, you can label the following:
Geospatial data (tiled imagery)
If you find that the out-of-the-box Editor does not have the functionality you need, you can build your own custom labeling interface with the Custom Editor SDK.
For organizations building expert artificial intelligence systems, we offer Pro & Enterprise licenses. For smaller projects, we offer a Developer license which is free for evaluation, individuals, and small projects with a limit of 2500 labels per year. Check out labelbox.com/pricing for more information on the Developer, Pro, and Enterprise license options.
If you will be using Labelbox for educational or non-commercial purposes, you may be eligible for an EDU license (see labelbox.com/education). To apply, visit labelbox.com/education or contact us at [email protected].
If you migrate from a paid plan to the developer (free) tier, Labelbox will not delete any data from your account. If you have already submitted 10,000 annotations in the past 12 months, you will no longer be able to export labels.
If my account has more than 5 users, will any users be deactivated when I migrate from a paid account to the Developer Tier?
No users will be deactivated, but you will not be able to add additional users.
If you would like to outsource a workforce to label your data in Labelbox, you have two options:
Use our Labelbox workforce when you sign up for a Pro or Enterprise account.
Find a third-party workforce and teach them how to use Labelbox.
Yes. Whether your labeling team is outsourced, internal, or both, Labelbox allows your labeling team to annotate data while giving you the tools to measure their label quality and performance. If needed, you have the ability to combine the efforts of your internal team and an outsourced labeling workforce on the same projects.
Labelbox provides support to all Labelbox users. You can find more details in the section Contact Customer Support.
The Consensus tool allows you to compare the label of one member against the labels of other members to automatically calculate the overall consensus. You can configure the percentage of your dataset in a project that will be selected to be labeled more than once by distinct members. Because this calculation compares a labeler's work to that of other labelers, you can see which labelers are producing labels that tend not to agree with the majority. You can also track the consensus of your labeled dataset against the entire labeling team to ensure high label quality. Poor consensus may also be an indicator of a need to clarify the ontology or classification questions in order to boost the consensus scores.
The Benchmarks tool allows you to set a “gold standard” annotation and compare your labelers' annotations against it. The benchmark tool works by interspersing data to be labeled, for which there is a benchmark label, to each person labeling. The accuracy score for each label is calculated based on its comparison to its respective benchmark.
If Consensus is turned on and configured for your project, yes. Otherwise, no.
With Labelbox, you can connect your machine learning model and compare your model’s performance against your team of labelers. To learn how to import model predictions to your project, see Model-assisted labeling (MAL).
Labelbox offers a Python SDK for those who wish to use Labelbox programmatically using Python instead of by writing GraphQL queries and mutations. Visit our Python SDK docs to learn more.
Access to the Labelbox GraphQL API is included in the Pro and Enterprise tiers. Visit our GraphQL API docs to learn more.
API Keys can only be created by organization administrators. To create an API key in the Labelbox UI, go to app.labelbox.com/account/api-keys.
Whether you are uploading model-assisted predictions or human-labeled data, you can import your labels via the app or programmatically. To learn more, see our docs for Model-assisted labeling (MAL).
Notably (but not exclusively), photos taken with smartphones have orientation stored as an EXIF tag in the image’s metadata. However, Labelbox does not read this EXIF tag and will render the image in its original, unrotated state. You may upload photos from a smartphone if you use an external image editor to save your image in the correct orientation first.
Your labeled data can be exported in JSON or CSV format, which should allow you to import it into any standard machine learning framework. Labelbox does not offer any native export functionality for COCO or PASCAL VOC.
Labelbox works with source data hosted on-premises or on a private cloud. For on-prem configurations, the source data is accessed directly from the client computer and is never shared by (or accessible to) Labelbox. Contact us at [email protected] for more information.
Labelbox accepts files (image, video, text) up to 256 MB.
Yes, unless your network has a restrictive firewall or you have internet connectivity issues. We currently only support the English language on our platform.
You must have an internet connection to use Labelbox. We recommend using Google Chrome to use Labelbox. Due to known compatibility issues, we do not recommend Internet Explorer or Safari.
Your work will be saved as long as you have an internet connection. In the event that you lose your internet connection, a message will appear on your screen notifying you that your internet connection is compromised. If this happens, make sure your connection is restored before you continue working to ensure that your work is saved.
Labelbox is not supported on mobile browsers so using Labelbox on a mobile device or iPad will not work.
Updated 24 days ago