gcloud alpha ml vision detect-objects - detect and extract multiple objects in an image with object localization
gcloud alpha ml vision detect-objects IMAGE_PATH [--model-version=MODEL_VERSION; default="builtin/stable"] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Detect and extract multiple objects in an image with object localization.
Object localization identifies multiple objects in an image and provides a LocalizedObjectAnnotation for each object in the image.
To detect objects for image 'gs://my_bucket/input_file':
$ gcloud alpha ml vision detect-objects gs://my_bucket/input_file
- 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://...)
- --model-version=MODEL_VERSION; default="builtin/stable"
Model version to use for the feature. MODEL_VERSION must be one of: builtin/latest, builtin/stable.
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.
This command uses the vision/v1 API. The full documentation for this API can be found at: https://cloud.google.com/vision/
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-objects
$ gcloud beta ml vision detect-objects