Image annotation for AI
More labeled data. Less annotation overhead.
Get images labeled, reviewed, and prepared for your computer vision workflow.
Built for
- Computer vision and AI teams
- Manufacturing and visual inspection
- Robotics
- Infrastructure inspection
- Warehousing and workplace safety
| Image | Label | Boxes | Status |
|---|---|---|---|
| img_0412.jpg | pallet | 3 | Reviewed |
| img_0413.jpg | person | 2 | Reviewed |
| img_0414.jpg | forklift | 1 | In review |
What we handle
Work we can take off your plate
We work from your labeling guidelines, your class list, and the format your training pipeline expects.
Bounding boxes and polygons
Draw bounding boxes and polygons around the objects in your images, following your written guidelines.
Image classification
Tag whole images with the classes in your schema, including edge cases agreed during the pilot.
Label review
Review labels against the agreed instructions and raise ambiguous cases with your team.
Dataset preparation
Prepare datasets for training or evaluation and deliver exports in an agreed format or tool workflow.
Before and after
See the work, from raw input to reviewed output.
Each example follows the same path: raw input, structured or labeled output, then review against agreed criteria.
Raw image
Labeled objects
palletpersonforkliftReviewed annotation output
frame_0412.jsonReviewedlabel bbox (x, y, w, h) pallet 102, 374, 384, 216 person 614, 202, 166, 374 forklift 819, 288, 384, 302 NotePartially hidden person checked against guideline 4.2.
Illustrative examples using synthetic sample data. Not customer work.
How it works
Our project builder gets you running in no time.
Build a project in our dashboard and get a quote immediately, no demo needed.
Define the workflow
Align on input data, instructions, schema, output format, volume, and acceptance criteria.
Process and review
Complete the agreed work and review outputs against the agreed requirements.
Deliver usable results
Return the output in the agreed format and resolve identified issues according to the project scope.
Turnaround depends on data type, volume, and review requirements, and is confirmed for each project during scoping.
FAQ
Frequently asked questions
Anything not covered here, we're happy to answer when we talk about your project.
Get in touch
Have a data workflow that needs attention?
Tell us what you're working with, what output you need, and roughly how much data you have. We'll help determine whether we're a fit and what a sensible first project could look like.
- What kind of data you're working with
- The output and format you need
- Roughly how much data you have