- NAME
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- gcloud ml vision detect-landmarks - detect popular natural and man-made structures within an image
- SYNOPSIS
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gcloud ml vision detect-landmarksIMAGE_PATH[--max-results=MAX_RESULTS] [GCLOUD_WIDE_FLAG …]
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- DESCRIPTION
- Google Cloud Vision will recognize landmarks in an image, such as "Palace of Fine Arts."
- EXAMPLES
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To recognize landmarks in an image 'gs://my_bucket/input_file':
gcloud ml vision detect-landmarks gs://my_bucket/input_file - POSITIONAL ARGUMENTS
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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
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--max-results=MAX_RESULTS- Maximum number of results to be provided.
- GCLOUD WIDE FLAGS
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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
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This command uses the
vision/v1API. The full documentation for this API can be found at: https://cloud.google.com/vision/ - NOTES
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These variants are also available:
gcloud alpha ml vision detect-landmarksgcloud beta ml vision detect-landmarks
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Last updated 2024-02-06 UTC.