Jasmine
Mocha
Cypress.io
WebdriverIO
QUnit
Karma
Chai
Mochajs
Computer Vision Annotation Tool (CVAT)
AWS SageMaker Ground Truth
Supervisely
Labelbox
Universal Data Tool
Segments.ai
V7
SuperAnnotate
Jasmine Computer Vision Annotation Tool (CVAT)Based on our record, Jasmine should be more popular than Computer Vision Annotation Tool (CVAT). It has been mentiond 29 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.
Jasmine is renowned for its simplicity and is a popular choice for JavaScript testing. Here are its key features:. - Source: dev.to / 20 days ago
Vitest makes it effortless to migrate from Jest. It supports the same Jasmine like API. - Source: dev.to / 6 months ago
To execute your tests, you can create test scripts using popular testing frameworks like Mocha, Jasmine, or Jest. These frameworks provide a structured way to organize and run your tests, report results, and handle assertions. - Source: dev.to / 9 months ago
Testing frameworks like Jest, Mocha, and Jasmine are crucial for software development, ensuring code reliability and correctness. They offer features like test suites, test cases, assertions, and asynchronous testing support. - Source: dev.to / 11 months ago
The test framework used does matter for naming, because in some frameworks you'd use different naming conventions (i.e. The fluent naming used with https://jasmine.github.io/). Source: 12 months 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 / 6 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 / about 1 year ago
Mocha - Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.
AWS SageMaker Ground Truth - Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
WebdriverIO - Webdriver module for Node.js. that makes it easier to write Selenium tests
Labelbox - Build computer vision products for the real world
