Data Annotation
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December 10, 2021
3 min read
Develop better AI
Data annotation for AI teams
Have super fast, accuracy guarenteed annotations.
- Data Labeling Service
- Active Annotation Review
- Instant AI
Data Labeling Service
Focus on the AI
Your data annotation needs are covered
You spend 50% of your entire AI lifecycle with data annotation. Get fast and accurate labeling to make better your AI better.
Visual Annotation
Textual Annotation
Video Annotation
Audio Annotation
Data Labeling MLOps Platform
Active Review
You can watch the annotations live, give feedback and edit.
Path to Successful AI model
Achieve hassle-free data annotatations in a feedback oriented data cycles.
1
Data Annotation Project Creation
Onboard yourself to Co-one data platform. Define your annotation needs, create annotation project and upload your data.
2
Annotation Guideline Creation
Tell us to understand how your dataset should be annotated. Define the do's and don'ts. Make sample annotations. Only then, you will have the best annotations.
3
Track Your Annotations Live
Be an active part of data annotations. Observe them live, while they are annotated. Give feedbacks or correct them.
4
Feed Your AI Model.
When you are satisfied with the annotations, export or import them into your model training environment in any desired format. Datalaoders and TFRecords are also included.
What We've Achieved So Far?
We are providing data annotations service to grow the AI for better.
Data Annotations
Crowdsource Annotators
Continents
AI Project Launched
Elif Oral
Senior Data Scientist
Hepsiburada
The work was appropriate and very meticulous. In fact, it has been worked so carefully that even a contribution has been made to our wishes. We were informed at every stage of the work, the communication was very good. All our question marks about data quality have been cleared. As a result of this meticulous work, we have achieved a high quality output.
Grow Your AI and Join Our Happy Customers
Better data makes better AI models.
We Are Here To Help You
Frequently Asked Questions
You can use the annotation management dashboard for data upload purposes. Local file upload, cloud data bucket integration and dataset connection via API are enabled.
In the annotation management dashboard, the Guideline Creation section you can define the correct way of annotation a data point.
Your data is your data and kept safe no matter what. The crowdsource can only have a access to single data for a limited time. They can not take screenshots. Each annotator has to verify its identity. The annotator agreement has quite deterrent consequences for the data breach resposibles.
Co-one ensures the annotation correction. If you don't like the annotations they are fast reviewed again just to be in same page. If both part agrees that there are errors, they are annotated again at no-charge!
Helping AI teams to grow for better.
We help AI world to build the most serious, high quality AI products.
