Google CLOUD AUTOML VS Labelbox

Google CLOUD AUTOML Reviews

Labelbox Reviews

1. Sharon    

   manager at Mcormicki | about 3 years ago
   Unreliable

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

   🏁 Competitors: Diffgram

   👎 Cons:    Slow|Bad support

Google CLOUD AUTOML mentions (6)

• Is there going to be engines dedicated to creating AI?

  There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: about 1 year ago

• How AWS and GCP Compare: The Top 5 Differences

  GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago

• Discussion Thread

  Just outsource the work to Google or Amazon. Source: over 2 years ago

• Is GitHub Copilot a Threat to Developers? (Spoiler: It’s Not

  We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / almost 3 years ago

• Are there any ready-to-use image AI programs for dummies?

  You might want to check out automl Google AutoML. Source: almost 3 years ago

Labelbox mentions (8)

• 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 / over 1 year 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: over 1 year 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: almost 2 years ago

• [D] Any recommendations for image annotation software .

  LabelBox - they provide free versions for research. Source: almost 2 years ago

• Video box annotation tool for Google Cloud Video Intelligence autoML CSV format ?

  Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: about 2 years ago