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Google CLOUD AUTOML VS Universal Data Tool

Compare Google CLOUD AUTOML VS Universal Data Tool and see what are their differences

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Google CLOUD AUTOML logo Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise

Universal Data Tool logo Universal Data Tool

Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
  • Google CLOUD AUTOML Landing page
    Landing page //
    2023-07-30
  • Universal Data Tool Landing page
    Landing page //
    2021-09-10

The Universal Data Tool (UDT) is an open-source web or downloadable tool for labeling data for usage in machine learning or data processing systems.

The Universal Data Tool supports Computer Vision, Natural Language Processing (including Named Entity Recognition and Audio Transcription) workflows.

The UDT uses an open-source data format (.udt.json / .udt.csv) that can be easily read by programs as a ground-truth dataset for machine learning algorithms.

Google CLOUD AUTOML videos

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Universal Data Tool videos

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Getting Started with Open-Source Contribution to the Universal Data Tool

More videos:

  • Tutorial - How to use text classification on the Universal Data Tool

Category Popularity

0-100% (relative to Google CLOUD AUTOML and Universal Data Tool)

Google CLOUD AUTOML

Universal Data Tool

Data Science And Machine Learning
43 43%
Data Science And Machine Learning
57% 57
Image Annotation
0 0%
Image Annotation
100% 100
AI
44 44%
AI
56% 56
Data Labeling
0 0%
Data Labeling
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google CLOUD AUTOML seems to be more popular. It has been mentiond 6 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.

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
View more

Universal Data Tool mentions (0)

We have not tracked any mentions of Universal Data Tool yet. Tracking of Universal Data Tool recommendations started around Mar 2021.

What are some alternatives?

When comparing Google CLOUD AUTOML and Universal Data Tool, you can also consider the following products

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

Labelbox - Build computer vision products for the real world

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

CrowdFlower - Enterprise crowdsourcing for micro-tasks

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

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