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AWS SageMaker Ground Truth VS SuperAnnotate

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

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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%.

SuperAnnotate logo SuperAnnotate

Empowering Enterprises with Custom LLM/GenAI/CV Models.
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14
  • SuperAnnotate Landing page
    Landing page //
    2023-10-10

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

AWS SageMaker Ground Truth features and specs

No features have been listed yet.

SuperAnnotate features and specs

  • Activity dashboard: yes
  • Configurable workflow: yes
  • Data import/export: yes
  • Performance metrics: yes
  • Real time analytics: yes
  • Third-party integrations: yes
  • Collaboration tools: yes
  • Data visualization: yes
  • Drag and drop: yes
  • Multiple data sources : yes
  • Reporting/analytics: yes
  • Task management: yes
  • Visual analytics: yes
  • Monitoring: yes
  • Real-time monitoring: yes
  • Secure data storage: yes
  • Trend analysis: yes
  • Visual discovery: yes

Category Popularity

0-100% (relative to AWS SageMaker Ground Truth and SuperAnnotate)

AWS SageMaker Ground Truth

SuperAnnotate

Data Science And Machine Learning
59 59%
Data Science And Machine Learning
41% 41
Data Labeling
43 43%
Data Labeling
57% 57
AI
67 67%
AI
33% 33
Image Annotation
45 45%
Image Annotation
55% 55

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS SageMaker Ground Truth and SuperAnnotate

AWS SageMaker Ground Truth Reviews

We have no reviews of AWS SageMaker Ground Truth yet.
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SuperAnnotate Reviews

Top Video Annotation Tools Compared 2022
In this blog, we’ll quickly explore annotation platforms and the features they offer to help improve the video annotation process. We’ll be looking closely at six big names in the video annotation market: Innotescus, Dataloop, Scale, V7, SuperAnnotate, and Labelbox.
Source: innotescus.io

Social recommendations and mentions

Based on our record, AWS SageMaker Ground Truth should be more popular than SuperAnnotate. 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.

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

SuperAnnotate mentions (1)

  • data-labeling tools comparison
    Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: almost 3 years ago

What are some alternatives?

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

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

Labelbox - Build computer vision products for the real world

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

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

CloudFactory - Human-powered Data Processing for AI and Automation

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

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