Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.datasets.annotationSpecs.get

Gets an AnnotationSpec.

Endpoint

get


                https://{service-endpoint}/v1beta1/{name}

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

name string

Required. The name of the AnnotationSpec resource. Format: projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotationSpec}

Query parameters

readMask string (FieldMask format)

Mask specifying which fields to read.

This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of AnnotationSpec.