Software Alternatives & Reviews

V7 VS Computer Vision Annotation Tool (CVAT)

Compare V7 VS Computer Vision Annotation Tool (CVAT) and see what are their differences

V7 logo V7

Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

Computer Vision Annotation Tool (CVAT) logo Computer Vision Annotation Tool (CVAT)

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat
  • V7 Landing page
    Landing page //
    2023-08-06
  • Computer Vision Annotation Tool (CVAT) Landing page
    Landing page //
    2023-08-26

V7

Categories
  • Data Labeling
  • Image Annotation
  • Data Science And Machine Learning
  • AI
Website v7labs.com
Pricing URL Official V7 Pricing
Details $

Computer Vision Annotation Tool (CVAT)

Categories
  • AI
  • Data Science And Machine Learning
  • Data Labeling
  • Image Annotation
Website github.com
Pricing URL-
Details $-

V7 videos

Automated Image Labelling with Auto-Annotate - V7 Darwin

More videos:

  • Review - Annotation Basics (OLD) - V7 Darwin AI Academy
  • Review - Video Annotation - V7 Darwin

Computer Vision Annotation Tool (CVAT) videos

Computer Vision Annotation Tool (CVAT): annotation mode

Category Popularity

0-100% (relative to V7 and Computer Vision Annotation Tool (CVAT))
Data Labeling
64 64%
36% 36
Data Science And Machine Learning
Image Annotation
65 65%
35% 35
AI
33 33%
67% 67

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare V7 and Computer Vision Annotation Tool (CVAT)

V7 Reviews

Top Video Annotation Tools Compared 2022
V7 allows for collaboration and automated workflows, so you can reach human accuracy faster with 10x more training data. V7 offers features similar to Innotescus like
Source: innotescus.io

Computer Vision Annotation Tool (CVAT) Reviews

We have no reviews of Computer Vision Annotation Tool (CVAT) yet.
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Social recommendations and mentions

Based on our record, Computer Vision Annotation Tool (CVAT) seems to be a lot more popular than V7. While we know about 14 links to Computer Vision Annotation Tool (CVAT), we've tracked only 1 mention of V7. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

V7 mentions (1)

  • Ask HN: Who is hiring? (December 2022)
    Https://v7labs.com We're automating humanity’s most important visual tasks from early cancer screening, to alzheimer's research, to giving sight to autonomous robots. Dealroom's most promising breakout company of 2022, Forbes top 20 ML startup of 2021. Just raise a $33m Series A and backed by AI heavyweights, including the creators of Keras, Elixir and leaders at DeepMindaand OpenAI. This month we're hiring for: -... - Source: Hacker News / over 1 year ago

Computer Vision Annotation Tool (CVAT) mentions (14)

  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Another powerful resource is CVAT, the Computer Vision Annotation Tool which supports both image and video annotations with advanced capabilities such as interpolation of shapes between frames, making it highly suitable for computer vision. - Source: dev.to / 4 months ago
  • Need help identifying a good open source data annotation tool
    CVAT has an open source repo under MIT license: https://github.com/opencv/cvat I've not worked with it directly but it might be a good place to start. Source: 4 months ago
  • Way to label yolov7 images fast
    An open source annotation tool that integrates object detectors is CVAT https://github.com/opencv/cvat however, using your own detector might require some coding. There is an integration for yolov5, but without modification it only loads the pretrained models. Source: 11 months ago
  • Segment Anything Model is now available in the open-source CVAT
    This integration is currently available in the open-source version of Computer Vision Annotation Tool (http://github.com/opencv/cvat)! Please use it for your computer vision projects to segment images faster. - Source: Hacker News / 12 months ago
  • How to build computer vision dataset labeling team in-house
    You can download the CVAT docker from a github (Link) and install it yourself, keeping all data local. And here are two options - locally on your personal computer (or company server) or in your own cloud (there are instructions on how to do this with AWS). - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing V7 and Computer Vision Annotation Tool (CVAT), you can also consider the following products

Labelbox - Build computer vision products for the real world

AWS SageMaker Ground Truth - Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

CloudFactory - Human-powered Data Processing for AI and Automation

SuperAnnotate - Empowering Enterprises with Custom LLM/GenAI/CV Models.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Segments.ai - Multi-sensor labeling platform for robotics and autonomous driving