Label Your Data

什么是 Label Your Data？

Label Your Data combines an online annotation project platform with managed labeling services for machine learning teams. For computer vision projects, users can upload a dataset, choose the annotation type, test a setup, track progress, and download completed results from one dashboard. Trained annotation teams perform the labeling, with project-specific quality review.

Managed projects also cover text, audio, and other data types, and can use a team's existing annotation tools. Teams can evaluate workflow and quality with a no-cost pilot before ordering production volume.

Label Your Data 能做什么？

Annotation project dashboard

Choose a computer vision annotation type, upload data, follow project progress, and download completed annotations.

API and team access

Upload and download data through an API, and manage collaboration with team permissions.

Project setup and cost estimates

Use a template to create annotator instructions and estimate cost from the task's data type and volume.

Expert annotation and quality review

Annotation teams handle complex datasets and detailed taxonomies, using tailored quality assurance and specialist review.

Managed workflows in existing tools

Run managed projects in a preferred annotation tool or use Label Your Data's platform. Delivery can be billed by hour, object, task, or project.

No-cost platform trial

Test an annotation setup and evaluate results with a no-cost trial for 10 images or video frames.

使用场景

“Computer vision model training”

Prepare images, video, aerial imagery, and 3D point-cloud data with methods such as bounding boxes, polygons, cuboids, keypoints, segmentation, and tracking.

“Autonomous systems and robotics”

Create training data for vehicle perception, depth mapping, spatial understanding, human pose estimation, and other mobility or robotics models.

“Geospatial and aerial analysis”

Annotate satellite, drone, and aerial imagery for land segmentation, infrastructure analysis, reconnaissance, and related geospatial applications.

“Language and audio datasets”

Support text, document, linguistic, and audio annotation projects, including entity labeling, multilingual document work, and acoustic target detection.

“Research and validation projects”

Use managed annotation or the platform to test machine learning workflows, validate pre-annotations, and prepare datasets for academic or product research.

常见问题

What types of data can Label Your Data annotate?

Managed services cover images, video, 3D point clouds, aerial and satellite imagery, text, audio, and content moderation projects. The self-serve platform focuses on computer vision annotation.

Which annotation methods are supported?

Examples include bounding boxes, polygons, cuboids, keypoints, object segmentation, tracking, and entity annotation. The available method depends on the data type and project.

Can Label Your Data work with an existing annotation tool?

Yes. The service supports tool-agnostic workflows and can work within a preferred annotation platform or workflow, or use its own tools.

How can a team evaluate the service before a larger project?

Submit sample data for a no-cost managed-service pilot, or test the self-serve platform with a trial of 10 images or video frames.

Is there a self-serve option?

Yes. The Label Your Data platform lets users upload computer vision data, select an annotation type, track progress, and download results.

快速信息