
GitHub Desktop
GitKraken
SourceTree
SmartGit
Fork
Tower
TortoiseGit
GitHub
Supervisely
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Playment
Labeling AI
Dataloop AI
GitHub Desktop
SuperviselyBased on our record, GitHub Desktop seems to be a lot more popular than Supervisely. While we know about 136 links to GitHub Desktop, 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.
Optional: You can also download GitHub Desktop (https://desktop.github.com) if you prefer a GUI version, but this guide focuses on Git Bash to understand the basics. - Source: dev.to / 7 months ago
Download the latest version from the GitHub Desktop website. - Source: dev.to / over 1 year ago
Iโm not going to dive into Git commands here โ you can find plenty of tutorials online. If youโre not a fan of using the plain terminal CLI, you can also manage repositories with tools like GitHub Desktop or SourceTree, which provide a more visual, intuitive interface. - Source: dev.to / almost 2 years ago
Using terminal commands isnโt necessary for basic adoption of Git with Corticon Studio files, though. There are various tools that will allow us to bypass the command line when defining rules, including the built-in Eclipse plugin for Git version control. If youโll be storing your assets on GitHub, though, an even easier solution is GitHub Desktop, a free desktop software that GitHub offers. It can be used in... - Source: dev.to / almost 2 years ago
Nix currently is akin to git's "porcelain": powerful but esoteric. However, much like git evolved into exoteric, user-friendly tools such as git-flow, GitHub Desktop, and Tower to become user-friendly, many developers are building abstractions, wrappers, and utilities to simplify Nix usage. Let's briefly look at a few of these tools now. - Source: dev.to / about 2 years 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: over 3 years 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 3 years ago
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: about 4 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: about 4 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 4 years ago
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
Labelbox - Build computer vision products for the real world
SourceTree - Mac and Windows client for Mercurial and Git.
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
CrowdFlower - Enterprise crowdsourcing for micro-tasks