Dostoevsky said that beauty will save the world.
Padlet is a beautiful way to organize and present your team’s files, assets, and ideas. Instead of mind-numbingly boring documents from the 80s or mostly useless folders from the 90s, create visual boards (padlets) that are delightful to look at and fun to contribute to.
Over 30 million people every month actively use Padlet around the world. Here are some of the ways they use it: -Collaborate on files with clients -Store instructional videos -Share marketing assets -Manage real-estate listings on a map -Make slideshows -Create meeting agendas -Solicit feedback -Brainstorm ideas -And more
Dostoevsky would have loved Padlet.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
No SuperAnnotate videos yet. You could help us improve this page by suggesting one.
Based on our record, Padlet seems to be a lot more popular than SuperAnnotate. While we know about 14 links to Padlet, we've tracked only 1 mention of SuperAnnotate. 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.
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: over 1 year ago
Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: about 3 years ago
BookWidgets - BookWidgets is an excellent application that let you create engaging exercises in minutes and easily share a varied variety of beautiful and fun activities with your classroom and others.
Labelbox - Build computer vision products for the real world
Socrative - Socrative helps teachers engage the class with educational activities to measure and visualize...
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Quizalize - Quizalize is a leading web-based and mobile-based classroom application that delivers the best and easiest way to differentiates your teaching.
CloudFactory - Human-powered Data Processing for AI and Automation