gcloud beta ml vision detect-faces Stay organized with collections Save and categorize content based on your preferences.
- NAME
- gcloud beta ml vision detect-faces - detect faces within an image
- SYNOPSIS
gcloud beta ml vision detect-facesIMAGE_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':
gcloudbetamlvisiondetect-facesgs://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. Ifyou provide a local file, the contents will be sent directly to Google CloudVision. If you provide a URL, it must be in Google Cloud Storage format(gs://bucket/object) or an HTTP URL (http://... orhttps://…)
- 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_VERSIONmustbe 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 helpfor details. - API REFERENCE
- This command uses the
vision/v1API. The full documentation forthis API can be found at:https://cloud.google.com/vision/ - NOTES
- This command is currently in beta and might change without notice. Thesevariants are also available:
gcloudmlvisiondetect-facesgcloudalphamlvisiondetect-faces
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Last updated 2025-05-07 UTC.