Amazon Sage Maker Ground Truth
GPTKB entity
Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Public_service
|
| gptkbp:can_be_used_for |
data augmentation
image classification object detection video labeling text classification audio transcription |
| gptkbp:developed_by |
gptkb:Amazon_Web_Services
|
| gptkbp:enables |
data preparation
|
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon Sage Maker Ground Truth
|
| gptkbp:improves |
labeling accuracy
|
| gptkbp:integrates_with |
gptkb:Sage
|
| gptkbp:is_accessible_by |
gptkb:mobile_devices
gptkb:API gptkb:AWS_Management_Console |
| gptkbp:is_available_in |
multiple languages
multiple regions |
| gptkbp:is_compatible_with |
gptkb:Jupyter_notebooks
|
| gptkbp:is_designed_for |
enterprise use
|
| gptkbp:is_integrated_with |
gptkb:Amazon_Mechanical_Turk
gptkb:AWS_IAM third-party labeling services |
| gptkbp:is_optimized_for |
cloud environments
high throughput labeling |
| gptkbp:is_part_of |
AWS ecosystem
Amazon Sage Maker suite |
| gptkbp:is_scalable |
large datasets
|
| gptkbp:is_used_by |
gptkb:researchers
data scientists machine learning engineers |
| gptkbp:is_used_for |
validation datasets
training datasets testing datasets |
| gptkbp:offers |
customizable workflows
annotation tools labeling job management project tracking features human labeling |
| gptkbp:provides |
real-time feedback
detailed reporting user management features data privacy features data labeling services quality control features automated labeling |
| gptkbp:reduces |
labeling costs
|
| gptkbp:supports |
gptkb:machine_learning
image segmentation data versioning semantic segmentation custom workflows multi-label classification bounding box annotation polygon annotation collaborative labeling data labeling for various industries |
| gptkbp:utilizes |
active learning
|
| gptkbp:bfsParent |
gptkb:AWS
|
| gptkbp:bfsLayer |
4
|