Amazon SageMaker Ground Truth
GPTKB entity
Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:allows |
Custom labeling workflows
|
| gptkbp:developedBy |
gptkb:Amazon_Web_Services
|
| gptkbp:enables |
Scalable data labeling
|
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Ground Truth
|
| gptkbp:integratesWith |
Amazon SageMaker
|
| gptkbp:integration |
gptkb:Amazon_Mechanical_Turk
Third-party labeling services |
| gptkbp:isAccessibleBy |
gptkb:AWS_Management_Console
gptkb:AWS_CLI AWS_SDKs |
| gptkbp:isAvailableIn |
Hybrid cloud
Private cloud Public cloud AWS_regions |
| gptkbp:isCompatibleWith |
Machine learning frameworks
|
| gptkbp:isDesignedFor |
Enterprise use
|
| gptkbp:isOptimizedFor |
Large datasets
Cost efficiency |
| gptkbp:isPartOf |
Amazon SageMaker ecosystem
AWS_ecosystem AWS_AI_services |
| gptkbp:isSuitableFor |
Thousands of labels
|
| gptkbp:isUsedBy |
Data scientists
Machine learning engineers |
| gptkbp:isUsedFor |
Text classification
Model evaluation Model training Image classification Object detection Data annotation Semantic segmentation Training datasets |
| gptkbp:offers |
Data privacy features
Labeling job management Cost-effective labeling solutions Automated_data_labeling |
| gptkbp:provides |
User-friendly interface
Data labeling services Quality control tools Labeling instructions Labeling quality metrics Labeling team management Labeling templates |
| gptkbp:supports |
Crowdsourcing
Multiple data formats Multi-label classification Audio labeling Custom labelers Human labeling workflows Real-time labeling Video labeling |
| gptkbp:uses |
Active learning
|