Detect Labels
rekognition.detect_labels
ActionAmazon Web Servicesconnection required
Calls the Rekognition DetectLabels action (SigV4).
Detect labels (objects/scenes) in an image stored in S3 with AWS Rekognition.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- API key
- Providers
- AWS Rekognition
- Secret shape
- {"access_key_id", "secret_access_key"}
- Config it needs
- region
- Resolved by
- config.connection_id, else node.connection_id
Configuration
4 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
region AWS region (overrides connection). | string | No | — | — | — |
bucket S3 bucket holding the image. Supports {{ }}. | string | Yes | — | — | — |
object S3 object key of the image. | string | Yes | — | — | — |
max_labels Max labels (1-100). | number | No | 10 | ≥ 1 | — |
Example configuration
Every value below is the contract’s own example or default — nothing invented.
{
"max_labels": 10
}Output
One shape.
result
| Field | Type | Example |
|---|---|---|
labels | array | — |
count | number | — |
{
"count": 0,
"labels": []
}Related AWS Rekognition nodes
See Detect Labels run in a workflow.
In a technical demo we add the AWS Rekognition connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.