Jasmine
Mocha
Cypress.io
WebdriverIO
QUnit
Karma
Chai
Mochajs
Supervisely
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Computer Vision Annotation Tool (CVAT)
Playment
Segments.ai
Jasmine SuperviselyBased on our record, Jasmine should be more popular than Supervisely. 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 / 19 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 annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an integration for owl-vit, which might be helpful for annotation of animals. https://ecosystem.supervisely.com/apps/serve-owl-vit. Source: about 1 year ago
Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start. - Source: dev.to / over 1 year ago
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: almost 2 years ago
Hi, I'm exactly in the same boat like you are. I looked around for a while and the better solutions I found was supervise.ly and CVAT for video annotation. The pricetag on supervisely is pretty high, so I analyzed CVAT for a couple days and was positively surprised. Source: almost 2 years ago
Under the WPI Photo Ambum section of the page for FRC field photos (https://www.firstinspires.org/robotics/frc/playing-field#WPIPhotos), they have a section of machine learning imagery. However, this link goes to supervise.ly, the website they use for machine learning. I created an account to attempt to download the images, however, whenever I try to 'clone' the project, it stalls at 0% and gives me an error... Source: almost 2 years 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.
Labelbox - Build computer vision products for the real world
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.
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
WebdriverIO - Webdriver module for Node.js. that makes it easier to write Selenium tests
CrowdFlower - Enterprise crowdsourcing for micro-tasks
