Want to enjoy jobvite.com videos offline? Want to play jobvite.com videos on iPhone, iPad, iPod, Samsung, PowerPoint, etc? Want to upload jobvite.com videos to YouTube, Facebook or other social network? Want to burn jobvite.com videos into DVD or play jobvite.com videos on any occasion? To satisfy all the above desires, the first and the most important step is to download jobvite.com videos to your local computer... Source: over 1 year ago

Jobvite | Multiple Roles | Remote (US, Canada, UK)| Onsite: Kitchener, ON, Indianapolis, IN, San Mateo, CA (and a few others) From the home page https://jobvite.com/ : At Jobvite, our mission is to provide our customers with the tools to attract, engage, hire, and retain the talent that drives success. 3 main tech stacks: Ruby/Rails, Java and Python List of open positions: https://talent.jobvite.com/search/jobs. - Source: Hacker News / about 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