I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than Supervisely. While we know about 891 links to Tailwind CSS, 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.
Utility-First frameworks, such as Tailwind CSS, provide a vast set of utility classes that can be composed directly in the HTML. This minimizes the need for custom CSS and complex selectors. - Source: dev.to / 5 days ago
I prepared a list of open-source checkbox components coded with Tailwind CSS and Material Tailwind. - Source: dev.to / 3 days ago
Tailwind CSS is a highly customizable, utility-first CSS framework that provides low-level utility classes to build custom designs without leaving your HTML. Tailwind allows developers to rapidly create modern, responsive layouts with ease. Learn more about Tailwind CSS. - Source: dev.to / 15 days ago
Shadcn/ui library which is the most popular and highly customizable component library that uses Tailwind CSS for styling. - Source: dev.to / 5 days ago
For this tutorial, you will use the Svelte Tolgee example project. This project is a personal blogging website built using TailwindCSS. If you want to create your own Svelte app, follow the official Svelte documentation. While following the steps further down this tutorial, make sure to adapt to your app. - Source: dev.to / 5 days 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
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