Import data for image classification single label

Imports data for image classification single label using the import_data method.

Code sample

Python

Before trying this sample, follow the Python setup instructions in the Vertex AI quickstart using client libraries. For more information, see the Vertex AI Python API reference documentation.

To authenticate to Vertex AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

from google.cloud import aiplatform


def import_data_image_classification_single_label_sample(
    project: str,
    dataset_id: str,
    gcs_source_uri: str,
    location: str = "us-central1",
    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
    timeout: int = 1800,
):
    # The AI Platform services require regional API endpoints.
    client_options = {"api_endpoint": api_endpoint}
    # Initialize client that will be used to create and send requests.
    # This client only needs to be created once, and can be reused for multiple requests.
    client = aiplatform.gapic.DatasetServiceClient(client_options=client_options)
    import_configs = [
        {
            "gcs_source": {"uris": [gcs_source_uri]},
            "import_schema_uri": "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_classification_single_label_io_format_1.0.0.yaml",
        }
    ]
    name = client.dataset_path(project=project, location=location, dataset=dataset_id)
    response = client.import_data(name=name, import_configs=import_configs)
    print("Long running operation:", response.operation.name)
    import_data_response = response.result(timeout=timeout)
    print("import_data_response:", import_data_response)

What's next

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