Labelbox Reviews

1. Sharon

   · manager at Mcormicki · over 4 years ago
   Unreliable

   Service goes down often. Very slow team. Slow support.

   🏁 Competitors: Diffgram

   👎 Cons:    Slow|Bad support

Unity Machine Learning Reviews

Labelbox mentions (9)

• Best Practices for Ensuring AI Agent Performance and Reliability

  Use tools like Weights & Biases, Labelbox, or Maxim’s data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / 2 months ago

• Ask HN: Who is hiring? (October 2022)

  Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / about 3 years ago

• Model Assisted Labeling using Label box

  Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but I’m honestly still very confused. Any help... Source: about 3 years ago

• What MDR is doing: a Machine Learning perspective

  By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: over 3 years ago

• [D] Any recommendations for image annotation software .

  LabelBox - they provide free versions for research. Source: over 3 years ago

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: almost 2 years 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: over 2 years 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: over 2 years 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: over 2 years 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 2 years ago