Labellerr VS AWS SageMaker Ground Truth

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

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Labellerr

Labelling made easy-training data to build AI/ML models fast

AWS SageMaker Ground Truth

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

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2021-08-05

Labellerr is an automated data labeling platform to help ML teams to build training data for their computer vision and NLP model training. It also provide expert/human in the loop services to its customers for high quality labeling.

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2023-04-14

Auto-label Data In Minutes With Labellerr To Save Time & Cost

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Category Popularity

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

Labellerr

AWS SageMaker Ground Truth

Data Science And Machine Learning

17 17%

Data Science And Machine Learning

83% 83

24 24%

76% 76

Data Labeling

0 0%

Data Labeling

100% 100

Machine Learning

100 100%

Machine Learning

0% 0

User comments

Share your experience with using Labellerr and AWS SageMaker Ground Truth. For example, how are they different and which one is better?

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.

Labellerr mentions (0)

We have not tracked any mentions of Labellerr yet. Tracking of Labellerr 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