AI assisted Polygon annotation services
We deliver datasets annotated with highly accurate polygons, so you can focus on building Computer vision systems that work in the real world.
Go beyond bounding boxes
2D bounding boxes are powerful tools for object detection, but they don't capture the object boundaries accurately. Utilise accurate polygon annotation to develop more robust object detection applications for a variety of use-cases
- Medical imaging
- Geospatial imaging
- Autonomous driving
- Industrial inspection
Integrate labeling with your data pipeline
With our enterprise plan, you get access to our Python SDK to access your data and annotations right from your own code.
Validate
Pick random data points and visualize the labels with our Python SDK.Provide feedback
If you find incorrects labels, create an issue and add comments to let our team know how they can improve.Download annnotations
Download all validated annotations the moment they are ready. No more communication delays.Your data is valuable. Keep it safe.
We understand your data is valuable to you. Keep your data safe through a variety of different storage options.
What are you
building?
We would love to know what projects you are working on. Get in touch with us
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Why
Mindkosh
Transparent pricing, trained and scalable workforce and a propreitary state-of-the-art labeling tool are just some of the features that set us apart.
Pricing
Pricing models
We prefer per-asset pricing as it encourages quick response times. But we can also do hourly pricing.
Free demo
Send us a few samples of your data, and we will label them for free. No questions asked.
Workforce
Rapid Scaling
Scale rapidly - both up as well as down - with our large team of highly experienced labelers.
Security
Be assured of the security of your data with our highly controlled work environments. No data goes in or out.
Labeling software
Automatic annotation
Achieve superhuman level quality for your datasets with Automatic annotation.
Data storage
Store your data with us, third party storage services or directly stream from your own AWS S3 accounts.