.TH "GCLOUD_ML_VISION_DETECT\-OBJECTS" 1



.SH "NAME"
.HP
gcloud ml vision detect\-objects \- detect and extract multiple objects in an image with object localization



.SH "SYNOPSIS"
.HP
\f5gcloud ml vision detect\-objects\fR \fIIMAGE_PATH\fR [\fIGCLOUD_WIDE_FLAG\ ...\fR]



.SH "DESCRIPTION"

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.



.SH "EXAMPLES"

To detect objects for image 'gs://my_bucket/input_file':

.RS 2m
$ gcloud ml vision detect\-objects gs://my_bucket/input_file
.RE



.SH "POSITIONAL ARGUMENTS"

.RS 2m
.TP 2m
\fIIMAGE_PATH\fR

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://...)


.RE
.sp

.SH "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 \fB$ gcloud help\fR for details.



.SH "API REFERENCE"

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



.SH "NOTES"

These variants are also available:

.RS 2m
$ gcloud alpha ml vision detect\-objects
.RE

.RS 2m
$ gcloud beta ml vision detect\-objects
.RE