BoofCV VS AWS SageMaker Ground Truth

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

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BoofCV

BoofCV is an open source library written from scratch for real-time computer vision.

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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2023-10-22

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2023-04-14

BoofCV on Raspberry PI Tutorial

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Category Popularity

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

BoofCV

AWS SageMaker Ground Truth

Data Science And Machine Learning

27 27%

Data Science And Machine Learning

73% 73

Data Science Tools

100 100%

Data Science Tools

0% 0

0 0%

100% 100

Python Tools

100 100%

Python Tools

0% 0

User comments

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Reviews

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

BoofCV Reviews

7 Best Computer Vision Development Libraries in 2024

With its advanced 3D geometric vision capabilities, BoofCV is instrumental in estimating the three-dimensional structure of objects from images, contributing to fields like computer graphics and augmented reality.

Source: www.labellerr.com

AWS SageMaker Ground Truth Reviews

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Social recommendations and mentions

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

BoofCV mentions (1)

How to Track Flying Objects?
You might take a look at OpenCV or BoofCV: http://boofcv.org/index.php?title=Example_Tracker_Object BoofCV also has a great Android App to check out its features. - Source: Hacker News / over 2 years ago

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