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Argilla.io VS AWS SageMaker Ground Truth

Compare Argilla.io VS AWS SageMaker Ground Truth and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

Argilla.io logo Argilla.io

Argilla: the open-source data curation platform for LLMs

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%.
  • Argilla.io Landing page
    Landing page //
    2023-10-21
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14

Category Popularity

0-100% (relative to Argilla.io and AWS SageMaker Ground Truth)

Argilla.io

AWS SageMaker Ground Truth

Data Science And Machine Learning
14 14%
Data Science And Machine Learning
86% 86
Data Labeling
20 20%
Data Labeling
80% 80
AI
18 18%
AI
82% 82
Image Annotation
19 19%
Image Annotation
81% 81

User comments

Share your experience with using Argilla.io and AWS SageMaker Ground Truth. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, AWS SageMaker Ground Truth seems to be more popular. It has been mentiond 3 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.

Argilla.io mentions (0)

We have not tracked any mentions of Argilla.io yet. Tracking of Argilla.io recommendations started around Jul 2023.

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

What are some alternatives?

When comparing Argilla.io and AWS SageMaker Ground Truth, you can also consider the following products

Dataloop AI - Enterprise grade data platform for AI systems in development and in production.

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

brat rapid annotation tool - Online environment for collaborative text annotation.

Labelbox - Build computer vision products for the real world

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

Edgecase.ai - Edgecase.ai offers a full suite of services and software for data annotation, synthetic data and AI services. From dedicated professionals, to medical professionals, agronomists and other sectors.

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