V7 Labs

AI-powered computer vision data engine with auto-annotation and pixel-perfect labeling.

Best for: Excellent auto-annotation Not ideal for: Primarily vision-focused
Price Paid
Free plan Yes
For Researchers
Level Beginner
Updated Mar 2026
Category AI Research
01

Why choose V7 Labs

AI data engine for computer vision that combines annotation, dataset management, and model training. Features auto-annotation powered by AI models, pixel-perfect labeling tools, and workflow automation for image and video datasets.

  • +Excellent auto-annotation
  • +Pixel-perfect tools
  • +Medical imaging support
  • +Great for computer vision
02

Where it falls short

  • Primarily vision-focused
  • Custom pricing unclear
  • Smaller community than competitors
03

Best for these users

👤
Target audience
Researchers, academics, knowledge workers
📌
Best for
Excellent auto-annotation
Skip if you need
Primarily vision-focused
04

Pricing overview

Freemium Free plan: Yes

Free tier available. Team plans start at custom pricing based on usage.

Check current pricing →
05

Key features

Auto-annotation AI
Pixel-perfect labeling
Dataset management
Workflow automation
DICOM medical imaging
Video annotation
07

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08

Related comparisons

09

The verdict

V7 Labs Freemium

V7 Labs is a solid choice for researchers who need excellent auto-annotation. At freemium, it delivers good value. Main caveat: primarily vision-focused. Compare with alternatives before committing.