--- title: Amazon Sagemaker Ground Truth Reviews meta_title: 'Amazon Sagemaker Ground Truth Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 19 reviews by the users' company size, role or industry to find out how Amazon Sagemaker Ground Truth works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 19 scale: '5' date_modified: '2026-05-22' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Amazon Sagemaker Ground Truth Reviews **Vendor:** Amazon Web Services (AWS) **Category:** [Data Labeling Software](https://www.g2.com/categories/data-labeling) **Average Rating:** 4.1/5.0 **Total Reviews:** 19 ## About Amazon Sagemaker Ground Truth Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. ## Amazon Sagemaker Ground Truth Reviews ### 1. The best fully managed data labeling service ever **Rating:** 5.0/5.0 stars **Reviewed by:** Vithushan S. | Co-Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** August 28, 2021 **What do you like best about Amazon Sagemaker Ground Truth?** From a user's perspective, almost all the features provided by Amazon Machine Learning services are awesome, In that list if we have a look at SageMaker Ground Truth it reduces the significant cost of running a Machine Learning model in the cloud by its advanced automatic labeling capacity. Also, it reduces human interaction when it comes to data labeling by a significant amount. **What do you dislike about Amazon Sagemaker Ground Truth?** As per our observation while using SageMaker Ground Truth is, it performs significantly well than any other ML Solution. So nothing to complain about at all. **Recommendations to others considering Amazon Sagemaker Ground Truth:** SageMaker Ground Truth is the best cloud solution out there when it comes to data labling **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** As a software solution vendor, we work with many Machine learning models that solve real-world business problems. At the same time, it requires a massive data labeling and processing flow. So we are in a position where we should optimize the solution for clients as much performance as possible at least infrastructural cost. That's where AWS Amazon SageMaker comes into the picture and helps us to go in front of the customer with smart efficient solutions. ### 2. Great for Agile lovers. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 23, 2021 **What do you like best about Amazon Sagemaker Ground Truth?** Very easy to use and deploy the Machine learning models and API managment is very easy. Very easy to connect to Docker. **What do you dislike about Amazon Sagemaker Ground Truth?** Pricing is a little on the high side when running high amount of labels. Endpoint cannot be turned off and thus wastes memory. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** I have used Amazon Sagemaker Ground Truth for deploying multiple Machine learning models specially recommendation engines related to blogs APIs. ### 3. Great tool for labeling **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2021 **What do you like best about Amazon Sagemaker Ground Truth?** Great understable UX for the labeler, with time restrictions and being able to pick up wherever left off **What do you dislike about Amazon Sagemaker Ground Truth?** The labelers cannot track how many objects are pending in the project if they don't have access to the AWS console. Hard to match PII to Labeler ID to track per labeler contribution/progress. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Labeling for certain large datasets, especially images ### 4. If you are an agile lover **Rating:** 4.0/5.0 stars **Reviewed by:** Ritesh K. | Data Science Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 02, 2021 **What do you like best about Amazon Sagemaker Ground Truth?** Easy with which we can deploy and monitor our machine learning models using sagemaker endpoint. **What do you dislike about Amazon Sagemaker Ground Truth?** Sagemaker endpoint cannot be turned off, thus consumes unncessary resource and money at times. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** I have deployed multiple business models using sagemaker endpoint, some beight predictive model and recommendation engine. ### 5. User Friendly Product **Rating:** 4.0/5.0 stars **Reviewed by:** Nikita G. | Network Security Engineer II , Computer & Network Security, Enterprise (> 1000 emp.) **Reviewed Date:** March 04, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** I enjoyed the ease of use of the product. Good amount of options; I like how it supports Docker containers and API management. It is very easy to set up and integrate with other services. Also very nice that it supports multiple frameworks. Probably the best tool on the market right now used for machine learning. **What do you dislike about Amazon Sagemaker Ground Truth?** When running the product on a large amount of labels; the price gets really steep. It takes a while to set up and figure out on your own when you are not used to Amazon products. The integration with AWS can take a while to get used to if you are trying to use other products other than AWS. Very limited options when choosing something other than the AWS platform. **Recommendations to others considering Amazon Sagemaker Ground Truth:** Highly recommend this product if you are used to using the AWS platform. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** I am using AWS SageMaker for personally teaching myself machine learning; completing assignments. I am using the trial version right now in order to work on projects with other students and teach myself machine learning. ### 6. Get Rid of Unnecessary Effort in ML Dataset Preparation **Rating:** 5.0/5.0 stars **Reviewed by:** Celil . | Digital Transformation & Process Improvement Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** February 14, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** AWS SageMaker Ground Truth service is the best and only solution about it. It uses AI service to predict lables from data. Service, doesn't promise to solve all labels. Unable to labled data can use for crowdcourcing. As in Amazon Turk service you can assign your data to people in all around the world who try to predict labels. SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling. **What do you dislike about Amazon Sagemaker Ground Truth?** Because of it is very new and unique service we can not say any negative feedback **Recommendations to others considering Amazon Sagemaker Ground Truth:** AWS SageMaker Ground Truth is unique (unrivaled) and best solution for ML users. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** In Machine Learning (ML) world, when you train a model you have to data and its labels. Data is entry and labels are results. But, Dataset Preparation is the most challenging task in Machine Learning (ML) world. Most of people want to use ML technology do not like to do it. Because it requires give too much attantion to data and give too much time to labeling. AWS SageMaker Ground Truth service is the best and only solution about it. It uses AI service to predict lables from data. ### 7. A Very Well Put Together Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Nikita G. | Marketing Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** March 16, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** This is a great tool that you can use to organize data for the task of machine learning. If you have a lot of data and don't have the necessary tools or computing power to add all of the data; then AWS SageMaker does a great job in allowing you to do so. I use this on a daily basis at the moment to complete daily tasks. **What do you dislike about Amazon Sagemaker Ground Truth?** One thing I do not like is the pricing of the tool. Once you have a lot of data and tons of objects to input; the pricing can go up substantially. It is affordable; but for a small business can be a bit expensive once you start dealing with vast amount of data. **Recommendations to others considering Amazon Sagemaker Ground Truth:** If you are going to be using AWS SageMaker Ground Truth; do so if you have a budget that you can spend. If you are in limited supply of cash; I would suggest you use another product instead of this one. Make sure to go through the Amazon documentation page before you decide to buy the product. There is a lot of cost involved once you purchase it and do decide to set it up. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** I am using this tool to create a SEO tool that would recognize particular keywords on webpages. I think this tool has a lot of potential as I am still in the process of learning how to use it for SEO. I will be using this tool for my benefit of creating an SEO tool that is functional. ### 8. Tool for taging every content (text, image, audio etc) **Rating:** 4.5/5.0 stars **Reviewed by:** Obaib E. | Software Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** March 05, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** This tool resolve one of the most popular problems into data mining and machine learning. It allows users to tag every data set content like audio, databases with large texts, images. This tasks make life much more easy for a data scientist. **What do you dislike about Amazon Sagemaker Ground Truth?** The configuration is to hard and confuse, the time to set up the tool working on production and the price are the things that i dislike. For a large data the tool is a bit slow, but is understandable. **Recommendations to others considering Amazon Sagemaker Ground Truth:** Best tool for tag content and data to be analyzed. The data can be used in algorithms like machine learning, deep learning and other statistical technics. The data can be text or images. This tool is 100 % recomended for that task. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** We analyze audio from clients, that contacted "Customer Support", this tool help us to tag the audios and understand the content and feeling of the client. ### 9. AWS SageMaker Ground Truth can be a game changer in Machine Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** January 28, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** Amazon Web Services, the cloud provider service of Amazon, announced the release of AWS SageMaker Ground Truth during the 2019 AWS Re:Invent and with this introduction has moved further in the AI and Machine learning space. What this service promises to do is help in data labelling - thus reducing cost and time I like this service because: 1. Traditionally Machine learning requires good size data set which one has to label or acquire. Both are time taking processes. With AWS SageMaker Ground Truth, it will become easy to give the unlabelled dataset with small labelled dataset and it will do the rest. No more using human workers and explain them the process, add their bias into the process. I have done this task before and I know it's not an easy one. 2. Cost: Cost is another one of the issues especially when it comes to hiring those workers for labelling. This service can build datasets for text, image, object detection etc. This can optionally use active learning to automatically label the data as well. **What do you dislike about Amazon Sagemaker Ground Truth?** This is a new service and not many tutorials are there on the website. I had to learn myself using AWS blogposts and self learning so there is a high learning curve. I don't how much accurate this service might be. **Recommendations to others considering Amazon Sagemaker Ground Truth:** I will suggest to at least try this service and not think this might be bad. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** I used this service to see if this can be used instead of the regular process we have. The idea is the compare this service with human annotators and see the accuracy. At the moment, we are not moving forward with this service. ### 10. Initial experience **Rating:** 2.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 06, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** Most of the time is spent labeling data used for training while creating a machine learning model but AWS sage maker cloud truth makes it easier to label this data and use them for training the model. The time taken to label the data reduces significantly. **What do you dislike about Amazon Sagemaker Ground Truth?** It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be corrected. This might take more time than expected sometimes. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Using AWS SageMaker Ground Truth we solved a use case where there were images of cartoons and they had to be labeled into different categories. The business problem was to recognize a specific cartoon character from a series of images. ### 11. Easy to use **Rating:** 4.0/5.0 stars **Reviewed by:** Jenny U. | Coordinator, Mid-Market (51-1000 emp.) **Reviewed Date:** March 05, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** I like how easy it is to use and how easy it is to train other employees on. **What do you dislike about Amazon Sagemaker Ground Truth?** I don't really have any dislikes. I find that the system is useful on many levels. **Recommendations to others considering Amazon Sagemaker Ground Truth:** It is definitely worth the implementation period. It took my company a little while to switch to the system, but it was much easier to use than what we had before. **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Although I have not seen the specific data my company has collected while using it, I believe it has become a cost reduction for labeling. ### 12. SageMaker Ground Truth is Active Learning on AWS **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 10, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** I have done some active learning before and hence I know the difficulty of implementing a system, more difficult when that is automated platform that involves human annotators. I have seen videos on the AWS Re:invent where it was introduced and it sounds promising. Active learning when done right can really help to gather good quality data, with less cost, and less time. From the videos I looked at and with the small test I did, it looked promising. Amazon mechanical turk can also be used for the same. **What do you dislike about Amazon Sagemaker Ground Truth?** I haven't seen anything as such that I dislike. Three things that come to my mind which might be limitations: 1. Since the data can be seen by 3rd party workers, privacy will be going to a huge thing. Not all companies can share data with anyone else. 2. Pricing might be of a concern. I haven't experimented much. 3. AL in my experience doesn't work really good without any human intervention. **Recommendations to others considering Amazon Sagemaker Ground Truth:** I will say, go into this when: 1. Your data can be seen by others 2. You have in-house annotators that can help in this **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** When I experimented with this, I was trying to see if it can help us gather more quality data for our machine learning. However, since data privacy was a big thing for my company, we couldn't do much further. Moreover, my team didn't have human annotators. ### 13. I am Beginner for Amazon sagemaker **Rating:** 3.5/5.0 stars **Reviewed by:** Roopam P. | Technology Analyst, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** March 17, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** Amazon sage maker has mostly reduced the time required for deployment.it is much faster to upload the job and view the result. **What do you dislike about Amazon Sagemaker Ground Truth?** Not applicable.i am just a beginner as of now seems all good to me **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Time required for deployment is much as unnecessary jar files used during the process to complete the Deploy ment.i believe if aws sagemaker is used time reduction will happen.and performance may increase. ### 14. Excellent tool built into AWS for machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 30, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** A very good tool for machine learning in AWS. A lot of technical stuff is handled by the platform itself. This is a boon especially in situations where you need to perform hyperparameter tuning. It does a lot of stuff for you so your work is made easier! **What do you dislike about Amazon Sagemaker Ground Truth?** A great tool for users. Just gets a little time understanding how to use the platform **Recommendations to others considering Amazon Sagemaker Ground Truth:** Definitely consider AWS SageMaker if your looking to scale your machine learning platforms to implement predictive analytics on large datasets. Since a lot of intelligence is built into the system, it makes your work really easy! **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Excellent tool for performing predictive analytics. Its a new feature I saw in AWS which helps me train datasets and perform predictions on large datasets! ### 15. SageMaker for production endpoints **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 09, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** Streamlined workflow to allow us to go from ideation to production in as little time as possible. **What do you dislike about Amazon Sagemaker Ground Truth?** Documentation around specific parts of pipelines is lacking **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Building high-throughput real-time endpoints that allow us to save money and development time ### 16. AWS Sage Maker **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Architecture & Planning | Enterprise (> 1000 emp.) **Reviewed Date:** March 06, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** developer and data scientist with the ability to build, train, and deploy machine learning models quickly. **What do you dislike about Amazon Sagemaker Ground Truth?** Unknown to most of the people. Need more roadshows, how it is different from other machine learning tools etc to be clarified. **Recommendations to others considering Amazon Sagemaker Ground Truth:** Need more roadshows on this front as we did not see much markets **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** To resolve complex customer scenarios for our clients, I would like to go with this SageMaker. ### 17. Honest review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** March 07, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** Honestly the thing that I like the most is the initial concept and how useful it is in world of cloud. **What do you dislike about Amazon Sagemaker Ground Truth?** Don't have anything to add on dislike list **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** I the company colleague is responsible for aws, so I cannot answer to this question ### 18. AWS **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Medical Practice | Small-Business (50 or fewer emp.) **Reviewed Date:** March 04, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** This database works to help facilitate workflow in an easy to use way **What do you dislike about Amazon Sagemaker Ground Truth?** Some features are still a little overshoot **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Help facilitate a better workflow for programs ### 19. Review **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** March 02, 2019 **What do you like best about Amazon Sagemaker Ground Truth?** Easy to use and also a good way to learn ml **What do you dislike about Amazon Sagemaker Ground Truth?** Missed diversity in sample use cases step by step, it will make it easy **What problems is Amazon Sagemaker Ground Truth solving and how is that benefiting you?** Stock analysis ## Amazon Sagemaker Ground Truth Discussions - [Which of these types of workforce are available in Amazon SageMaker ground truth?](https://www.g2.com/discussions/which-of-these-types-of-workforce-are-available-in-amazon-sagemaker-ground-truth) - [How much does ground truth cost?](https://www.g2.com/discussions/how-much-does-ground-truth-cost) - [Which type of data are included in Amazon SageMaker ground truth manifest file?](https://www.g2.com/discussions/which-type-of-data-are-included-in-amazon-sagemaker-ground-truth-manifest-file) - [How can use it freely for 1-year?](https://www.g2.com/discussions/how-can-use-it-freely-for-1-year) - 1 upvote - [online job](https://www.g2.com/discussions/26907-online-job) - 1 upvote - [View Amazon Sagemaker Ground Truth pricing details and edition comparison](https://www.g2.com/products/amazon-sagemaker-ground-truth/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-25+00%3A25%3A25+-0500&secure%5Bsession_id%5D=8e95c78d-5a55-4c92-9e49-0a632fb467c7&secure%5Btoken%5D=ecd81dd0d52651ce46b07b5b66a30d12cf71afdf192a853ba0f09516bd60ed04&format=llm_user) ## Amazon Sagemaker Ground Truth Features **Quality** - Labeler Quality - Task Quality - Data Quality - Human-in-the-Loop **Automation** - Machine Learning Pre-Labeling - Automatic Routing of Labeling **Image Annotation** - Image Segmentation - Object Detection - Object Tracking - Data Types **Natural Language Annotation** - Named Entity Recognition - Sentiment Detection - OCR **Speech Annotation** - Transcription - Emotion Recognition ## Top Amazon Sagemaker Ground Truth Alternatives - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.8/5.0 (352 reviews) - [Labelbox](https://www.g2.com/products/labelbox/reviews) - 4.5/5.0 (48 reviews) - [Appen](https://www.g2.com/products/appen/reviews) - 4.2/5.0 (33 reviews)