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MODEL IDqwen2-5-vl-7b-age-detector

Qwen2.5-VL-7B Age Detector

Alibaba
by
Available with Zero Data Retention

Qwen2.5-VL-7B Age Detector is a multimodal model that analyzes a facial image to estimate age. It uses the vision encoder from Qwen2.5-VL-7B and its instruction-tuned language backbone to interpret visual features and output age predictions or age categories.

Qwen2.5-VL-7B Age Detector

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: caption

Identifier for the type of task being performed.

taskUUID

stringrequiredUUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

webhookURL

stringuri

Webhook URL that receives JSON responses 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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deliveryMethod

stringdefault: sync

Determines 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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Include task cost in the response.

routing

object

Model router options. Only read when model is auto, and never sent to the model.

Properties3 properties
routing » preferences

Relative importance of each dimension when models are compared. Weights, not thresholds.

Properties3 properties
routing » preferences » quality
quality
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » speed
speed
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » cost
cost
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » maxPrice

maxPrice

floatmin: 0

Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.

routing » requirements

requirements

stringmax: 3000

Conditions the result has to meet, in plain words. A model that cannot meet them is not chosen.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.

inputs » image

image

stringrequired

Image input (UUID, URL, Data URI, or Base64).

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: qwen2-5-vl-7b-age-detector

Send auto instead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.

Learn more3 resources