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Argilla.io VS Computer Vision Annotation Tool (CVAT)

Compare Argilla.io VS Computer Vision Annotation Tool (CVAT) and see what are their differences

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Argilla.io logo Argilla.io

Argilla: the open-source data curation platform for LLMs

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

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat
  • Argilla.io Landing page
    Landing page //
    2023-10-21
  • Computer Vision Annotation Tool (CVAT) Landing page
    Landing page //
    2023-08-26

Argilla.io videos

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Computer Vision Annotation Tool (CVAT) videos

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Computer Vision Annotation Tool (CVAT): annotation mode

Category Popularity

0-100% (relative to Argilla.io and Computer Vision Annotation Tool (CVAT))

Argilla.io

Computer Vision Annotation Tool (CVAT)

Data Science And Machine Learning
13 13%
Data Science And Machine Learning
87% 87
Data Labeling
17 17%
Data Labeling
83% 83
AI
14 14%
AI
86% 86
Image Annotation
17 17%
Image Annotation
83% 83

User comments

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Social recommendations and mentions

Based on our record, Computer Vision Annotation Tool (CVAT) seems to be more popular. It has been mentiond 14 times since March 2021. 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.

Argilla.io mentions (0)

We have not tracked any mentions of Argilla.io yet. Tracking of Argilla.io recommendations started around Jul 2023.

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 / 6 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: 6 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: about 1 year 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 / about 1 year 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 Argilla.io and Computer Vision Annotation Tool (CVAT), you can also consider the following products

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

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

brat rapid annotation tool - Online environment for collaborative text annotation.

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

Labelbox - Build computer vision products for the real world

Edgecase.ai - Edgecase.ai offers a full suite of services and software for data annotation, synthetic data and AI services. From dedicated professionals, to medical professionals, agronomists and other sectors.

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