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: almost 2 years ago

Wavve will also make audiograms for social media (https://wavve.co/). Source: over 1 year ago

Headliner.app and wavve.co do the promotion and nothing more. Source: over 1 year ago

I can't tell you how many "consultants" told us that what we were doing wasn't worth the effort because a podcast host was going to build this feature that would make Wavve obsolete. Well, they all did build that feature but they all built poor versions of it and customers still came to us. Source: over 2 years ago

And paid niche is already relatively saturated with already big products e.g. https://veed.io https://headliner.app https://wavve.co and several others, so competing seemed like an uphill battle... Source: over 2 years ago

In the early days for Wavve& Zubtitle it was direct sales/outreach. We would find people on social media promoting their podcast or video and pitch our tools to them. Source: almost 3 years ago