Software Alternatives & Reviews

Roboflow Universe VS Google CLOUD AUTOML

Compare Roboflow Universe VS Google CLOUD AUTOML and see what are their differences

Roboflow Universe logo Roboflow Universe

You no longer need to collect and label images or train a ML model to add computer vision to your project.

Google CLOUD AUTOML logo Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise
  • Roboflow Universe Landing page
    Landing page //
    2022-12-11
  • Google CLOUD AUTOML Landing page
    Landing page //
    2023-07-30

Roboflow Universe

Categories
  • APIs
  • Software Engineering
  • Developer Tools
  • AI
  • Open Source
Website universe.roboflow.com
Details $

Google CLOUD AUTOML

Categories
  • Data Science And Machine Learning
  • Technical Computing
  • Data Science Tools
  • Numerical Computation
Website cloud.google.com
Details $-

Category Popularity

0-100% (relative to Roboflow Universe and Google CLOUD AUTOML)
Developer Tools
71 71%
29% 29
Data Science And Machine Learning
AI
64 64%
36% 36
APIs
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Roboflow Universe should be more popular than Google CLOUD AUTOML. It has been mentiond 18 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.

Roboflow Universe mentions (18)

  • Show HN: Pip install inference, open source computer vision deployment
    It’s an easy to use inference server for computer vision models. The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface). It’s backed by a bunch of component pieces: * a server (so you don’t have to reimplement things like image processing & prediction... - Source: Hacker News / 8 months ago
  • Open discussion and useful links people trying to do Object Detection
    * Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects. Source: about 1 year ago
  • TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
    For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com. - Source: Hacker News / over 1 year ago
  • Ask HN: Who is hiring? (December 2022)
    Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers?ref=whoishiring1222 Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 100k engineers (including engineers from 2/3... - Source: Hacker News / over 1 year ago
  • Please suggest resources to learn how to work with pre-trained CV models
    Solid website and app overall for learning more about computer vision, discovering datasets, and keeping up with advancements in the field: * https://roboflow.com/learn * https://universe.roboflow.com (datasets) | https://blog.roboflow.com/computer-vision-datasets-and-apis/ * https://blog.roboflow.com. Source: over 1 year ago
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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
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What are some alternatives?

When comparing Roboflow Universe and Google CLOUD AUTOML, you can also consider the following products

TensorFlow Lite - Low-latency inference of on-device ML models

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

Apple Core ML - Integrate a broad variety of ML model types into your app

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

Aquarium - Improve ML models by improving datasets they’re trained on

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.