Based on our record, Stripe seems to be a lot more popular than Supervisely. While we know about 246 links to Stripe, 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.
Many payment gateways, such as Stripe, Paypal, have made this easier to collect payments. All you need to do is integrate their API into your application, and they handle the rest—securely collecting payments, ensuring compliance, and more. - Source: dev.to / 1 day ago
Create an account over at https://stripe.com/. - Source: dev.to / 17 days ago
In the last update, I got subscriptions working, and integrated with Stripe. I'm using the Pay gem to manage the subscriptions, as it provides a lot of built-in functionality, and the Stripe Ruby Client for other API calls not supported with the Pay gem. - Source: dev.to / about 1 month ago
An account with Stripe (create one at Stripe's website). - Source: dev.to / about 1 month ago
Before you can start accepting payments with Stripe Checkout, you need to create a Stripe account. Visit the Stripe website and sign up for an account. Once you have created an account, you will receive an API key that you will use to authenticate your requests to the Stripe API. - Source: dev.to / about 2 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
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