Software Alternatives, Accelerators & Startups

Supervisely VS Unity Machine Learning

Compare Supervisely VS Unity Machine Learning and see what are their differences

Supervisely logo Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Unity Machine Learning logo Unity Machine Learning

Unity is the ultimate game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.
  • Supervisely Landing page
    Landing page //
    2023-08-06
  • Unity Machine Learning Landing page
    Landing page //
    2023-08-19

Supervisely videos

🛠️Basic annotation overview - Supervisely

More videos:

  • Review - Cars annotation in Supervisely: Polygons vs. AI powered tool
  • Tutorial - Yolo v3 Tutorial #2 - Object Detection Training Part 1 - Create a Supervisely Cluster

Unity Machine Learning videos

No Unity Machine Learning videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Supervisely and Unity Machine Learning)
Data Labeling
97 97%
3% 3
Data Dashboard
0 0%
100% 100
Image Annotation
100 100%
0% 0
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Unity Machine Learning should be more popular than Supervisely. It has been mentiond 21 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.

Supervisely mentions (6)

  • Way to label yolov7 images fast
    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
  • 65 Blog Posts to Learn Data Science
    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
  • Bounding Box for Text Annotation
    If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: almost 2 years ago
  • CVAT alternatives for video frame annotation
    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
  • Accessing 2022 Machine Learning Imagery from WPI's Photo Album
    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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Unity Machine Learning mentions (21)

  • Would you be interested in a raylib Reinforcement Learning library?
    I am considering creating a reinforcement library for raylib similar to Unity ML Agents, but better. Source: 8 months ago
  • I have some questions as an absolute beginner.
    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
  • Working with Unreal Engine 5 for Computer Vision.
    "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
  • Unity vs Unreal for Machine Learning?
    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
  • For those who created neural networks in Unity before, how did you do it?
    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
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What are some alternatives?

When comparing Supervisely and Unity Machine Learning, you can also consider the following products

Labelbox - Build computer vision products for the real world

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

CrowdFlower - Enterprise crowdsourcing for micro-tasks

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.