Open Age Detection
Open Age Detection is a vision model that estimates the age of a person from a facial image. It uses a deep learning classifier trained on diverse face data to predict age categories or age ranges based on visual facial features.
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: captionIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
webhookURL
stringuriSpecifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
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- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: syncDetermines how the API delivers task results.
Allowed values2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
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- Task PollingPLATFORM
includeCost
booleanInclude task cost in the response.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.inputs»imageimage
stringrequiredImage input (UUID, URL, Data URI, or Base64).
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: open-age-detectionIdentifier of the model to use for generation.
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