npm
Webpack
Yarn
Grunt
GNU Make
Brunch
Ender
rollup.js
Supervisely
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Computer Vision Annotation Tool (CVAT)
Playment
Segments.ai
npm SuperviselyBased on our record, npm seems to be a lot more popular than Supervisely. While we know about 61 links to npm, we've tracked only 6 mentions of Supervisely. 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.
To begin, you will need to choose a name for your package. Note: Your package name must be unique. Using the exact or similar name of an existing package will return an error when publishing the package to npm. To ensure the uniquenesses of your package name, head over to npmjs.com and search for any existing packages with a similar name. If there’s an exact match or a similar name, consider changing the name... - Source: dev.to / 2 months ago
By using Fastify, you can quickly get a Node.js application up and running to handle requests. Assuming you have Node.js installed, you’ll start by initializing a new project. We’ll use npm as our package manager. - Source: dev.to / 2 months ago
It is on this last topic that I want to focus on in this post, and then in particular, how to make working with dependencies a bit safer within the NPM ecosystem. - Source: dev.to / 4 months ago
In modern applications you'll get React and React DOM files from a "package registry" like npm (react and react-dom). - Source: dev.to / 5 months ago
Install the alacritty-themes package globally with npm. - Source: dev.to / 6 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: about 2 years ago
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
Yarn - Yarn is a package manager for your code.
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Grunt - The Grunt ecosystem is huge and it's growing every day.
CrowdFlower - Enterprise crowdsourcing for micro-tasks
