NAME
    gcloud alpha ml vision detect-faces - detect faces within an image

SYNOPSIS
    gcloud alpha ml vision detect-faces IMAGE_PATH [--max-results=MAX_RESULTS]
        [--model-version=MODEL_VERSION; default="builtin/stable"]
        [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    (ALPHA) Detect faces within an image.

EXAMPLES
    To detect faces in image 'gs://my_bucket/input_file':

        $ gcloud alpha ml vision detect-faces gs://my_bucket/input_file

POSITIONAL ARGUMENTS
     IMAGE_PATH
        Path to the image to be analyzed. This can be either a local path or a
        URL. If you provide a local file, the contents will be sent directly to
        Google Cloud Vision. If you provide a URL, it must be in Google Cloud
        Storage format (gs://bucket/object) or an HTTP URL (http://... or
        https://...)

FLAGS
     --max-results=MAX_RESULTS
        Maximum number of results to be provided.

     --model-version=MODEL_VERSION; default="builtin/stable"
        Model version to use for the feature. MODEL_VERSION must be one of:
        builtin/latest, builtin/stable.

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.

API REFERENCE
    This command uses the vision/v1 API. The full documentation for this API
    can be found at: https://cloud.google.com/vision/

NOTES
    This command is currently in alpha and might change without notice. If this
    command fails with API permission errors despite specifying the correct
    project, you might be trying to access an API with an invitation-only early
    access allowlist. These variants are also available:

        $ gcloud ml vision detect-faces

        $ gcloud beta ml vision detect-faces

