Unity Machine Learning VS Supervisely

I am considering creating a reinforcement library for raylib similar to Unity ML Agents, but better. Source: 7 months ago

Unity can build a stand-alone application or be used as a library. Javascript is deprecated, and Boo along with it although it was never really supported to begin with. Various types of machine learning are supported through the ML-Agent Toolkit and pretty well documented. The toolkit has a Python API but you should be careful about doing anything too unusual in Unity because the documentation tends to have a lot... Source: about 1 year ago

"ML-agents" is a interface between unity as a physics simulation environment and a predefined pytorch project for AI training. Transform values (position, rotation etc) and image buffers are exchanged as training input. When finished, you can load the model directly in unity for inference -> "execution" -> no need for python code anymore. Https://unity.com/products/machine-learning-agents. Source: about 1 year ago

Does Unreal offer a better support than Unity regarding Machine Learning? Unity offers ML Agents, is there anything similar on UE 5.1? ( https://unity.com/products/machine-learning-agents ). Source: about 1 year ago

Unity has collaborated with OpenAI a few times now. https://unity.com/products/machine-learning-agents that is the place to start. There are also a lot of articles online on how to use neural networks with Unity. 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: 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