Playment VS Computer Vision Annotation Tool (CVAT)

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

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Playment

Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

Computer Vision Annotation Tool (CVAT)

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

Landing page //
2023-07-22

Landing page //
2023-08-26

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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 Playment and Computer Vision Annotation Tool (CVAT))

Computer Vision Annotation Tool (CVAT)

Data Labeling

64 64%

Data Labeling

36% 36

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Image Annotation

68 68%

Image Annotation

32% 32

46 46%

54% 54

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.

Playment mentions (0)

We have not tracked any mentions of Playment yet. Tracking of Playment recommendations started around Mar 2021.

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: 5 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: 12 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 / 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