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

I use https://padlet.com and it's varying types of padlets to keep track of things, brainstorming, etc. Source: about 1 year ago

STAAR Math Practice is the state's testing program and is based on state curriculum standards in core subjects including reading, writing, mathematics, science, and social studies. STAAR tests are designed to measure what students are learning in each grade and whether or not they are ready for the next grade. Source: over 1 year ago

From urllib.request import Request, urlopen Req = Request("https://padlet.com") Req.add_header('User-Agent', 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11') Req.add_header('Accept-Encoding','gzip, deflate, br') Req.add_header('Connection','keep-alive') Resp = urlopen(req) Content = resp.read(). Source: over 1 year ago

We've used Padlet in the past but switched to Menti a year ago or so. There are many other tools, and most have an export feature, which allows you to download the data in a format readable by Excel. In Excel, we code each comment according to the categories covered by our in-house course survey: content, facilitation, duration, pacing, venue, materials, learning, relevance, satisfaction, and likelihood to recommend. Source: over 1 year ago

Hi, could anyone tell me if you are able to track who anonymously posted something on padlet.com ? Source: almost 2 years ago