Mocha
Jasmine
Cypress.io
Webpack
QUnit
Selenium
JSHint
Ninja Build
Computer Vision Annotation Tool (CVAT)
AWS SageMaker Ground Truth
Supervisely
Labelbox
Universal Data Tool
Segments.ai
V7
SuperAnnotate
MochaBased on our record, Computer Vision Annotation Tool (CVAT) should be more popular than Mocha. 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.
You may wanna have a look at Mocha Pro or PFTrack, depending on your requirements and your budget. Source: over 1 year ago
Don't pirate. If you need mesh tracking, I've had lots of success with Mocha Pro's PowerMesh. There's a free trial, and one month is only $37 USD. Source: over 2 years ago
Mocha is, at it's core, planar tracker, which means it tracks flat surfaces really well, but it's grown to become more of an "object tracker" that can track pretty much anything you want, the Pro version has a PowerMesh function similar to LockDown, powerful rotoscoping tools, and is generally considered to be incredibly useful in VFX. Here's the product page if you want to dive deeper. Pro is free for students... Source: almost 3 years 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
Jasmine - Behavior-Driven JavaScript
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...
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
Labelbox - Build computer vision products for the real world