Based on our record, Auth0 seems to be a lot more popular than Computer Vision Annotation Tool (CVAT). While we know about 181 links to Auth0, we've tracked only 14 mentions of Computer Vision Annotation Tool (CVAT). 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.
Today I started using Auth0 - a free Identity Provider by okta. They have a nice free plan that is very much enough for my little project and can be upgraded afterwards, if this project will ever go live and commercial. See my progress here. - Source: dev.to / 6 days ago
Auth0 is a popular authentication and authorization platform that provides secure access for applications, devices, and users. - Source: dev.to / 10 days ago
Although we could delegate the authentication and authorization of users to another IRIS server deployed for this purpose, on this occasion we are going to use the service offered by Auth0. - Source: dev.to / 29 days ago
I am using Auth0's Universal Login, which looks like below:. - Source: dev.to / about 1 month ago
Auth0: User authentication made for developers. - Source: dev.to / about 1 month ago
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 / 7 months ago
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: 7 months ago
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
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
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 / over 1 year ago
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