Pimcore is an open-source software platform used by more than 110 000 companies worldwide. It offers state-of-the-art digital asset management (DAM), product information management (PIM), master data management (MDM), digital experience management (DXP/CMS), multi-channel publishing, and digital commerce. Acclaimed by analysts at Gartner and Forrester, its customers include Fortune 100 companies such as Pepsi, Sony, and Audi. The company's headquarters are in Salzburg, Austria.
Pimcore’s consolidated platform enables organizations to manage product information, digital assets, digital commerce, and web content in a consolidated setup, thus empowering them with a single ‘trusted view’ of information and delivering a superior product experience to their customers across multiple touchpoints.
What makes Pimcore a great open-source alternative to proprietary, closed-source software is its incredible flexibility, 100% API-driven architecture, composable technology, speed-to-market, plus the momentum of 150+ global solution partners. The Pimcore Platform™ is loved by developers, agencies, and enterprises. For more information, please visit pimcore.com.
Based on our record, Supervisely should be more popular than Pimcore. It has been mentiond 6 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.
Also, I have Pimcore up and running on AWS as well too .. https://pimcore.com/en. Source: over 2 years ago
Pimcore, by definition, is an open-source digital experience platform with superb data management capabilities. Source: almost 3 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: 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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