Amazon SageMaker Ground Truth

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.

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.

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

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.

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.