Diffgram VS AWS SageMaker Ground Truth

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

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AWS SageMaker Ground Truth

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

Landing page //
2021-04-22

Diffgram is open source annotation and training data software.

Flexible deploy and many integrations - run Diffgram anywhere in the way you want.
Scale every aspect - from volume of data, to number of supervisors, to ML speed up approaches.
Fully featured - 'batteries included'.

Landing page //
2023-04-14

Easily Import & Export from {AWS, GCP} without API integration

AWS SageMaker Ground Truth videos

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Category Popularity

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

AWS SageMaker Ground Truth

Data Science And Machine Learning

36 36%

Data Science And Machine Learning

64% 64

46 46%

54% 54

Data Labeling

34 34%

Data Labeling

66% 66

Developer Tools

100 100%

Developer Tools

0% 0

User comments

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

Reviews

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

Diffgram Reviews

Sharon

manager at Mcormicki | about 3 years ago

Fast and did everything we needed
Overall really really happy with the tool and the team. Excited that it's now open source our team is already building an integration

🏁 Competitors: Labelbox

👍 Pros: Fast|Powerful|Flexible
saashub-capital

Founder at Capital | over 3 years ago

Best data handling - fast response times
Amazing import options and data sync. Really happy with speed and responsiveness of team.

🏁 Competitors: Labelbox

👍 Pros: Data|Interface|Speed|Support response time

AWS SageMaker Ground Truth Reviews

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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.

Diffgram mentions (0)

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