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Labellerr has a flexible pricing model, which can be useful for businesses with a range of labeling requirements. Additionally, Labellerr offers a smart feedback loop that can assist in enhancing labeling accuracy over time. Last but not least, Labellerr provides a free trial that might be helpful for businesses who want to try the product out before committing to a premium plan.

You can utilize either Labellerr or Amazon SageMaker for small-scale data labeling projects, but the decision will be made based on the particular needs of the project. Labellerr is an excellent option if the project calls for high-quality labeled data and human annotators because it is primarily focused on data labeling. On the other hand, Amazon SageMaker can be considered for managing a whole ML process.

In contrast to Amazon SageMaker, which charges per labeled item and provides two plans for data labeling, Labellerr offers variable pricing and a free trial. Unlike Sagemaker, our pricing is very transparent and predictable while scaling up.

Both Amazon SageMaker and Labellerr provide automatic data labeling solutions. However Labellerr provide most extensive automation from generative AI to model-assisted labeling.

You can create unique labeling processes by combining Labellerr with Amazon SageMaker. While SageMaker Ground Truth offers personalized labeling procedures, Labellerr delivers high-quality labeled datasets. You can manage and automate labeling processes with Labellerr and SageMaker Ground Truth, train ML models on labeled datasets, and accelerate the machine learning development process.