Jasmine
Mocha
Cypress.io
WebdriverIO
QUnit
Karma
Chai
Mochajs
Labelbox
V7
Supervisely
Playment
CloudFactory
Hive
Universal Data Tool
Amazon Mechanical Turk
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Jasmine LabelboxService goes down often. Very slow team. Slow support.
Based on our record, Jasmine should be more popular than Labelbox. 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 / 26 days ago
Vitest makes it effortless to migrate from Jest. It supports the same Jasmine like API. - Source: dev.to / 7 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 / 10 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
Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / over 1 year ago
Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but I’m honestly still very confused. Any help... Source: almost 2 years ago
By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: about 2 years ago
LabelBox - they provide free versions for research. Source: about 2 years ago
Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: over 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.
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
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
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.