Based on our record, Roadtrippers seems to be a lot more popular than Supervisely. While we know about 62 links to Roadtrippers, we've tracked only 6 mentions of Supervisely. 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 think it may be a fremium model now, but I've used Roadtrippers for week/weeks-long road trips in the US and eastern Europe. Source: about 1 year ago
Also, if you're interested, try https://roadtrippers.com/ to find some of the fun road trip incidentals along the way. Source: about 1 year ago
Not exactly the same, but I've used this site before and liked it, just in case you don't actually have time for each of the lower 48 https://roadtrippers.com/. Source: about 1 year ago
Https://roadtrippers.com/ is a good resource for stuff like this. Plug in your destinations and it’ll give you suggestions for stops along your route, including oddities like “worlds biggest whatever”that may be off a highway in Kansas. Source: about 1 year ago
I live in Germany and will have a roadtrip across Germany and maybe some neighbor countries. I wonder if there is any website/app that can help me to plan? I found roadtrippers.com it doesn't show any places in Europe. :/. Source: over 1 year 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
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