Amazon Web Services (AWS) provides cloud computing infrastructure, storage, and platform services.
Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE).
Labellerr's data labeling engine uses automated annotation, advanced analytics and smart QA to process million images and thousands hrs of videos in just few weeks.
Supervisely Image Labeling SuperviselyDevelop AI faster and better with on-premise, enterprise-grade end-to-end solution for every task: from labeling to building production models.
Label Studio Label StudioThe most flexible data labeling platform to fine-tune LLMs, prepare training data or validate AI models.
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