Based on our record, Sauce Labs should be more popular than Supervisely. 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.
Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / about 2 months ago
Appium is an open-source test automation framework. You can use it with native, hybrid, and mobile web apps. It drives iOS and Android apps using the WebDriver protocol. Appium is sponsored by Sauce Labs and a community of open source developers. - Source: dev.to / about 2 months ago
2. SauceLabs SauceLabs offers a cloud-based platform for automated and manual testing of web and mobile applications across various browsers, operating systems, and devices. It supports continuous integration and delivery workflows, making it easier for teams to get immediate feedback on the impact of code changes. - Source: dev.to / 3 months ago
Your best option are probably real device testing sites like e.g. https://saucelabs.com/. Source: about 1 year ago
There are service like this one. https://saucelabs.com/ is one. There used to be browser plugins to simulate a different browser. But as we found out over time: simulates devices aren't true to the real thing, so often you'll just simply run into problems in the simulated device ce that don't occur on the real device, or vice versa. Source: about 1 year 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
BrowserStack - BrowserStack is a software testing platform for developers to comprehensively test websites and mobile applications for quality.
Labelbox - Build computer vision products for the real world
LambdaTest - Perform Web Testing on 2000+ Browsers & OS
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
TestComplete - TestComplete Desktop, Web, and Mobile helps you create repeatable and accurate automated tests across multiple devices, platforms, and environments easily and quickly.
CrowdFlower - Enterprise crowdsourcing for micro-tasks