Software Alternatives & Reviews

SuperAnnotate VS Computer Vision Annotation Tool (CVAT)

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

SuperAnnotate logo SuperAnnotate

Empowering Enterprises with Custom LLM/GenAI/CV Models.

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

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat
  • SuperAnnotate Landing page
    Landing page //
    2023-10-10

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

  • Computer Vision Annotation Tool (CVAT) Landing page
    Landing page //
    2023-08-26

SuperAnnotate

Categories
  • AI Data Management
  • AI And MLOps
  • Data Labeling
  • Data Labeling Services
Website superannotate.com
Pricing URL Official SuperAnnotate Pricing
Details $freemium

Computer Vision Annotation Tool (CVAT)

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

SuperAnnotate features and specs

  • Activity dashboard: yes
  • Configurable workflow: yes
  • Data import/export: yes
  • Performance metrics: yes
  • Real time analytics: yes
  • Third-party integrations: yes
  • Collaboration tools: yes
  • Data visualization: yes
  • Drag and drop: yes
  • Multiple data sources : yes
  • Reporting/analytics: yes
  • Task management: yes
  • Visual analytics: yes
  • Monitoring: yes
  • Real-time monitoring: yes
  • Secure data storage: yes
  • Trend analysis: yes
  • Visual discovery: yes

Computer Vision Annotation Tool (CVAT) features and specs

No features have been listed yet.

SuperAnnotate videos

No SuperAnnotate videos yet. You could help us improve this page by suggesting one.

+ Add video

Computer Vision Annotation Tool (CVAT) videos

Computer Vision Annotation Tool (CVAT): annotation mode

Category Popularity

0-100% (relative to SuperAnnotate and Computer Vision Annotation Tool (CVAT))
Data Labeling
53 53%
47% 47
Data Science And Machine Learning
Image Annotation
54 54%
46% 46
AI
23 23%
77% 77

User comments

Share your experience with using SuperAnnotate and Computer Vision Annotation Tool (CVAT). For example, how are they different and which one is better?
Log in or Post with

Reviews

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

SuperAnnotate Reviews

Top Video Annotation Tools Compared 2022
In this blog, we’ll quickly explore annotation platforms and the features they offer to help improve the video annotation process. We’ll be looking closely at six big names in the video annotation market: Innotescus, Dataloop, Scale, V7, SuperAnnotate, and Labelbox.
Source: innotescus.io

Computer Vision Annotation Tool (CVAT) Reviews

We have no reviews of Computer Vision Annotation Tool (CVAT) yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Computer Vision Annotation Tool (CVAT) seems to be a lot more popular than SuperAnnotate. While we know about 14 links to Computer Vision Annotation Tool (CVAT), we've tracked only 1 mention of SuperAnnotate. 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.

SuperAnnotate mentions (1)

  • data-labeling tools comparison
    Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: almost 3 years 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
View more

What are some alternatives?

When comparing SuperAnnotate 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%.

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

CloudFactory - Human-powered Data Processing for AI and Automation

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

Dataloop AI - Enterprise grade data platform for AI systems in development and in production.