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Google CLOUD AUTOML VS CrowdFlower

Compare Google CLOUD AUTOML VS CrowdFlower 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

CrowdFlower logo CrowdFlower

Enterprise crowdsourcing for micro-tasks
  • Google CLOUD AUTOML Landing page
    Landing page //
    2023-07-30
  • CrowdFlower Landing page
    Landing page //
    2019-01-26

Google CLOUD AUTOML videos

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CrowdFlower videos

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How to Work on Figure Eight Tasks | How to work on crowdflower tasks | How to work on appen tasks

More videos:

  • Tutorial - How to work on Figure Eight Task | Earned 5$ in 15 mins | Easy Crowdflower Figure Eight Task

Category Popularity

0-100% (relative to Google CLOUD AUTOML and CrowdFlower)

Google CLOUD AUTOML

CrowdFlower

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Image Annotation
0 0%
Image Annotation
100% 100
AI
51 51%
AI
49% 49
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

CrowdFlower mentions (0)

We have not tracked any mentions of CrowdFlower yet. Tracking of CrowdFlower recommendations started around Mar 2021.

What are some alternatives?

When comparing Google CLOUD AUTOML and CrowdFlower, 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.

Amazon Mechanical Turk - The online market place for work.

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

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

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.

Labelbox - Build computer vision products for the real world

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