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Comet.ml VS AWS SageMaker Ground Truth

Compare Comet.ml VS AWS SageMaker Ground Truth and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

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%.
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14

Comet.ml videos

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Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

AWS SageMaker Ground Truth videos

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Category Popularity

0-100% (relative to Comet.ml and AWS SageMaker Ground Truth)

Comet.ml

AWS SageMaker Ground Truth

Data Science And Machine Learning
36 36%
Data Science And Machine Learning
64% 64
Machine Learning
100 100%
Machine Learning
0% 0
AI
32 32%
AI
68% 68
Data Labeling
0 0%
Data Labeling
100% 100

User comments

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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.

Comet.ml mentions (0)

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

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 Comet.ml and AWS SageMaker Ground Truth, you can also consider the following products

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.

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

Spell - Deep Learning and AI accessible to everyone

Labelbox - Build computer vision products for the real world

Weights & Biases - Developer tools for deep learning research

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

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