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CVAT.ai Pricing Overview

CVAT.ai has not provided pricing information for this product or service. This is common practice for software sellers and service providers. Contact CVAT.ai to obtain current pricing.

CVAT.ai Alternatives Pricing

The following is a quick overview of editions offered by other Data Labeling Software

Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
  • Fully customizable multimodal editor
  • Image, video, text, and audio editors
  • Data curation and exploration
  • Analytics and insights
  • Team and project management
Roboflow
Public
Free
Best for Testing and Exploration. Data and models are open source on Roboflow Universe.
  • 2 users
  • $60/mo free credits
  • Data labeling suite w/ AI features
  • Model training
  • Workflow builder
V7 Darwin
Free Plan
Free
Try out the core functionalities and set up your workflow for free.
  • 1 Workspace
  • 10 User Licenses
  • 3 Integrated Models
  • 100 Item Limit
  • AI-Assisted Image & Video Annotation (Limited)

Various alternatives pricing & plans

Pricing information for the above various CVAT.ai alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

CVAT.ai Pricing Reviews

(1)
Aida F.
AF
PhD Student in Machine Learning
Mid-Market (51-1000 emp.)
"Fast, Professional, and Collaborative"
What do you like best about CVAT.ai?

Working with the professional CVAT team was a great experience. They combined high speed with good quality, and whenever they had any doubts, they asked questions so we could move forward together. Their website was also very convenient and effective for reviewing work. Overall, it was a very positive experience. Review collected by and hosted on G2.com.

What do you dislike about CVAT.ai?

One minor challenge was that in some complex cases, it seemed like the data might have been labeled with slightly different approaches — possibly by different annotators or through a mix of manual and automated labeling. However, once we provided feedback, the team was quick to make the necessary corrections to preserve consistency in our dataset. Review collected by and hosted on G2.com.

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