Software Alternatives, Accelerators & Startups

AWS SageMaker Ground Truth VS Algorithmia

Compare AWS SageMaker Ground Truth VS Algorithmia and see what are their differences

AWS SageMaker Ground Truth logo AWS SageMaker Ground Truth

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14
  • Algorithmia Landing page
    Landing page //
    2023-09-14

AWS SageMaker Ground Truth videos

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Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

Category Popularity

0-100% (relative to AWS SageMaker Ground Truth and Algorithmia)
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100
Data Labeling
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Algorithmia should be more popular than AWS SageMaker Ground Truth. It has been mentiond 5 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.

AWS SageMaker Ground Truth mentions (3)

  • [D] What are people using to organize large groups of people for data labelling?
    Perhaps https://aws.amazon.com/sagemaker/data-labeling/ ? Source: almost 2 years ago
  • Top 5 AWS ML Sessions to Attend at AWS re:Invent 2021
    In this session you will discover how to use Amazon SageMaker to prepare data for machine learning in minutes. SageMaker provides data preparation tools that make it easier to label, prepare, and analyse your data. Walk through a complete data-preparation workflow, including how to use SageMaker Ground Truth to label training datasets, as well as how to extract data from numerous data sources, convert it using... - Source: dev.to / over 2 years ago
  • Blocked by MLData…it was only a matter of time
    As for who run MLD I guess It’s Amazon itself, have a look at this https://aws.amazon.com/sagemaker/groundtruth/. I speculate that multiple companies use this resource and they are the one responsible to upload the correct instructions, Amazon just redirect the labeling job for us using and requester account in mTurk, that explains why the communication is unacceptable with this requester. Source: over 2 years ago

Algorithmia mentions (5)

What are some alternatives?

When comparing AWS SageMaker Ground Truth and Algorithmia, you can also consider the following products

Computer Vision Annotation Tool (CVAT) - Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Labelbox - Build computer vision products for the real world

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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

5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.