I have fallen in love with the opposite approach: IA Presenter [0] (no affiliation). It's just markdown and content. The rest is taken from you. 0 - https://ia.net/presenter. - Source: Hacker News / 10 days ago

IA Presenter creates slide decks from markdown: https://ia.net/presenter. - Source: Hacker News / about 1 month ago

The folks who make iA Writer have one as well: https://ia.net/presenter. - Source: Hacker News / 5 months ago

I have seen, used, and have built themes for quite a lot of blogging platforms. I also started all the way from Blogspot to the simplest blog written in Markdown now with an idea to even simplify it further. Here is a personal promotional plug for an upcoming idea that a friend and I are working on. Right now, we are reaching out only to my connections, founder cohorts, and people I know. We plan to start release... - Source: Hacker News / 7 months ago

For a different approach, but still in the handwavey space of presentation apps that are actually pleasant to use, I'm a big fan of iA Presenter (https://ia.net/presenter). Short version: write Markdown, then Presenter makes it look nice. Export your deck to a PDF when you're done so you can pass it around. Write CSS for styling, or use their online theme builder to do it for you. And while it's commercial... - Source: Hacker News / 10 months 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