Labellerr VS Computer Vision Annotation Tool (CVAT)

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

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Labellerr

Labelling made easy-training data to build AI/ML models fast

Computer Vision Annotation Tool (CVAT)

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

Landing page //
2021-08-05

Labellerr is an automated data labeling platform to help ML teams to build training data for their computer vision and NLP model training. It also provide expert/human in the loop services to its customers for high quality labeling.

Landing page //
2023-08-26

Auto-label Data In Minutes With Labellerr To Save Time & Cost

Computer Vision Annotation Tool (CVAT) videos

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Computer Vision Annotation Tool (CVAT): annotation mode

Category Popularity

0-100% (relative to Labellerr and Computer Vision Annotation Tool (CVAT))

Labellerr

Computer Vision Annotation Tool (CVAT)

Data Science And Machine Learning

14 14%

Data Science And Machine Learning

86% 86

18 18%

82% 82

Machine Learning

100 100%

Machine Learning

0% 0

Data Labeling

0 0%

Data Labeling

100% 100

User comments

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

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.

Labellerr mentions (0)

We have not tracked any mentions of Labellerr yet. Tracking of Labellerr 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 / 5 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