gcloud beta ml vision detect-faces

NAME: gcloud beta ml vision detect-faces - detect faces within an image
SYNOPSIS: gcloud beta ml vision detect-faces IMAGE_PATH [ --max-results = MAX_RESULTS ] [ --model-version = MODEL_VERSION ; default="builtin/stable"] [ GCLOUD_WIDE_FLAG … ]
DESCRIPTION: (BETA) Detect faces within an image.
EXAMPLES: To detect faces in image 'gs://my_bucket/input_file':
gcloud beta 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 beta and might change without notice. These variants are also available:
gcloud ml vision detect-faces

gcloud alpha ml vision detect-faces

gcloud beta ml vision detect-faces Stay organized with collections Save and categorize content based on your preferences.

gcloud beta ml vision detect-faces