Highlight interesting links. Hide irrelevant ones. Remove whole websites from search results. Cyberpunk! Updated bookmark experience We all know what “bookmark” in every browser does, don’t we? What if I told you that bookmarks were insufficient and could be improved? I’m here to show you how :)
We usually add something valuable there, stuff we want to read later when we have time or not feeling lazy. It’s pretty usual for most of us that the “read later” folder is becoming “probably read later” and then finally “don’t know what’s here”.
How do we change it? Add the reminder to the link: set it up for the day you’re going to have some spare time, add a Mark to remind why you should do it. That’s the spirit!
What about valueless stuff? Links we don’t want to open again. “Why would we want it?” - you’re going to ask. Fair question. Have you ever been looking for an apartment? You should know then how it is to open the same apartment every day forgetting that you rejected it (and why). Once again you open the photo of the bathroom: “Ah, yeah, this bath is ugly...”. Don’t worry, you’re going to open the same room again tomorrow, the title photo is so promising…
Not with MarkALink! Add the link to the “Hide” group and forget about coming to this useless page henceforth. Whenever and wherever you see this link on the web, you’ll recognize it. And it’s only one of the cases where it could optimize your processes and save your time!
Based on our record, Supervisely seems to be more popular. 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.
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: 12 months 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: over 1 year 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: almost 2 years ago
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