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SageMaker Ground Truth + Classification
AWS's integrated labelling and model-building service for custom text classification
AWS SageMaker Ground Truth handles data labelling and annotation workflows, whilst the SageMaker suite provides built-in algorithms for text classification. It enables teams to build, train and deploy custom models without managing infrastructure.
| Pricing from | £0.36 per task (Ground Truth labelling); SageMaker notebook instances from £0.05 per hour |
| Best for | AWS-native teams with large unlabelled datasets needing end-to-end labelling and model training |
| Website | aws.amazon.com/sagemaker/ |
Strengths and trade-offs
- Integrated labelling and training reduces context switching between tools
- Cost-effective labelling via active learning; reduces volume of human annotations needed
- Requires AWS expertise and SageMaker familiarisation; steep learning curve
- Pricing complexity; multiple services charge separately (labelling, compute, storage)
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