Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:server
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:temple
|
| gptkbp:controls |
large datasets
|
| gptkbp:enables |
custom labeling workflows
|
| gptkbp:has |
a user-friendly interface
|
| https://www.w3.org/2000/01/rdf-schema#label |
Sage Maker Ground Truth
|
| gptkbp:integrates_with |
gptkb:temple
|
| gptkbp:intelligence |
data labeling tasks
|
| gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
AWSCLI AWSSD Ks |
| gptkbp:is_available_in |
multiple AWS regions
|
| gptkbp:is_compatible_with |
gptkb:Graphics_Processing_Unit
gptkb:scikit-learn gptkb:Py_Torch MX Net |
| gptkbp:is_designed_for |
gptkb:software
business analysts data scientists |
| gptkbp:is_effective_against |
for data labeling projects
|
| gptkbp:is_integrated_with |
third-party tools
|
| gptkbp:is_part_of |
AWS ecosystem
AWSAI services |
| gptkbp:is_scalable |
to meet project needs
|
| gptkbp:is_supported_by |
AWS documentation
AWS support services |
| gptkbp:is_used_for |
image classification
object detection training machine learning models video labeling text classification enhancing data quality improving model accuracy reducing labeling costs |
| gptkbp:is_used_in |
automotive applications
healthcare applications robotics applications retail applications agriculture applications education applications manufacturing applications finance applications |
| gptkbp:offers |
data privacy features
human labeling workflows pre-built labeling workflows |
| gptkbp:provides |
detailed reporting
annotation tools data labeling services quality control features |
| gptkbp:security_features |
with AWS security features
|
| gptkbp:supports |
gptkb:software_framework
multiple data formats multi-language labeling |
| gptkbp:updates |
with new features
|
| gptkbp:utilizes |
active learning
|