Label Your Data

Label Your Data is a data annotation platform for teams building computer vision and machine learning models. You upload raw data, pick an annotation type, and download the labeled results. The work runs on managed annotators, so you don't hire or train a labeling team yourself.

It covers more than images. The platform handles video, 3D point clouds, aerial and satellite imagery, and text and audio for NLP work, which means a single vendor can take on a project that would otherwise need two or three specialized providers stitched together. That range matters if your project mixes formats. You keep everything in one place instead of juggling vendors. For teams doing computer vision data labeling, that's the main draw.

The catch is commitment. Pricing moves with object counts and annotation type. Costs shift as your dataset grows, and there's no flat public price list. You estimate through a cost calculator first, then confirm with a pilot before scaling. The free pilot caps at 10 images or frames, which is fine for a quick quality check but not for a production dataset. Enough to test quality? Yes. Enough to finish a real job? No.

Founded to serve AI startups and research teams that need on-demand labels without a full-time crew, it now works with 200+ customers across mobility, retail, robotics, and healthcare. It's managed. You don't build a labeling team.

Getting Started

1. Create an account on the platform and set up your first annotation project.
2. Choose the annotation type that fits your data, like bounding boxes, polygons, or keypoints.
3. Run a free task on up to 10 images or frames to test the setup and quality.
4. Upload the rest of your dataset once the pilot looks right.
5. Track progress and download the completed labeled data when it's ready.