V7

Automates machine learning development tasks, including image and video labeling, to accelerate product delivery and reduce labeling costs by up to 80%.
Machine Learning Development Data Labeling Automation Artificial Intelligence Development Tools

V7 is a platform that accelerates machine learning development by automating tasks and making data labeling more efficient. Companies around the world rely on it to get products to market in weeks instead of months, cut labeling costs by as much as 80% and automate work up to 90%.

V7 has two main tools:

  • V7 Darwin: Automates image and video labeling so products can be delivered 10 times faster with much less human oversight.
  • V7 Go: Uses Gen AI to automate multi-modal tasks, making AI development more accessible to everyone and cutting "human in the loop" time to improve models.

Among V7's features are:

  • Auto-Annotate: Generate pixel-perfect polygon masks with a single click to speed up data labeling.
  • Custom Data Workflows: Design and automate data workflows to accelerate annotation projects.
  • Advanced Image Manipulation: Use orientation markers, reference lines, histograms, color maps or contrast control to make labeling easier.
  • Video Annotation: Label videos, image sequences and volumetric data with auto-annotation and interpolation.
  • Labeling Services: Hire professional labelers who are invested in your data.
  • SOC2, HIPAA and FDA Compliance: Protect data and ensure privacy.

V7 supports a variety of data formats, including JPG, PNG, DICOM and NIfTI, and integrates with popular tools and services like Snowflake, Google Cloud, Amazon Web Service and Databricks.

V7 is useful for industries like Healthcare, Insurance and Finance, Life Sciences, Logistics and Retail, where customers can take control of their training data. Customer testimonials from major companies show how the platform can help them get the job done efficiently and easily.

V7 pricing tiers include Business, Pro and Enterprise. Check the V7 site for details on pricing and features. The platform is for anyone looking to automate and accelerate their machine learning development.

Published on June 9, 2024

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