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<h1><a href="datalabeling_v1beta1.html">Data Labeling API</a> . <a href="datalabeling_v1beta1.projects.html">projects</a> . <a href="datalabeling_v1beta1.projects.annotationSpecSets.html">annotationSpecSets</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Creates an annotation spec set by providing a set of labels.</p>
<p class="toc_element">
<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes an annotation spec set by resource name.</p>
<p class="toc_element">
<code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets an annotation spec set by resource name.</p>
<p class="toc_element">
<code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Lists annotation spec sets for a project. Pagination is supported.</p>
<p class="toc_element">
<code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="create">create(parent, body=None, x__xgafv=None)</code>
<pre>Creates an annotation spec set by providing a set of labels.
Args:
parent: string, Required. AnnotationSpecSet resource parent, format: projects/{project_id} (required)
body: object, The request body.
The object takes the form of:
{ # Request message for CreateAnnotationSpecSet.
"annotationSpecSet": { # An AnnotationSpecSet is a collection of label definitions. For example, in image classification tasks, you define a set of possible labels for images as an AnnotationSpecSet. An AnnotationSpecSet is immutable upon creation. # Required. Annotation spec set to create. Annotation specs must be included. Only one annotation spec will be accepted for annotation specs with same display_name.
"annotationSpecs": [ # Required. The array of AnnotationSpecs that you define when you create the AnnotationSpecSet. These are the possible labels for the labeling task.
{ # Container of information related to one possible annotation that can be used in a labeling task. For example, an image classification task where images are labeled as `dog` or `cat` must reference an AnnotationSpec for `dog` and an AnnotationSpec for `cat`.
"description": "A String", # Optional. User-provided description of the annotation specification. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name of the AnnotationSpec. Maximum of 64 characters.
"index": 42, # Output only. This is the integer index of the AnnotationSpec. The index for the whole AnnotationSpecSet is sequential starting from 0. For example, an AnnotationSpecSet with classes `dog` and `cat`, might contain one AnnotationSpec with `{ display_name: "dog", index: 0 }` and one AnnotationSpec with `{ display_name: "cat", index: 1 }`. This is especially useful for model training as it encodes the string labels into numeric values.
},
],
"blockingResources": [ # Output only. The names of any related resources that are blocking changes to the annotation spec set.
"A String",
],
"description": "A String", # Optional. User-provided description of the annotation specification set. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name for AnnotationSpecSet that you define when you create it. Maximum of 64 characters.
"name": "A String", # Output only. The AnnotationSpecSet resource name in the following format: "projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}"
},
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # An AnnotationSpecSet is a collection of label definitions. For example, in image classification tasks, you define a set of possible labels for images as an AnnotationSpecSet. An AnnotationSpecSet is immutable upon creation.
"annotationSpecs": [ # Required. The array of AnnotationSpecs that you define when you create the AnnotationSpecSet. These are the possible labels for the labeling task.
{ # Container of information related to one possible annotation that can be used in a labeling task. For example, an image classification task where images are labeled as `dog` or `cat` must reference an AnnotationSpec for `dog` and an AnnotationSpec for `cat`.
"description": "A String", # Optional. User-provided description of the annotation specification. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name of the AnnotationSpec. Maximum of 64 characters.
"index": 42, # Output only. This is the integer index of the AnnotationSpec. The index for the whole AnnotationSpecSet is sequential starting from 0. For example, an AnnotationSpecSet with classes `dog` and `cat`, might contain one AnnotationSpec with `{ display_name: "dog", index: 0 }` and one AnnotationSpec with `{ display_name: "cat", index: 1 }`. This is especially useful for model training as it encodes the string labels into numeric values.
},
],
"blockingResources": [ # Output only. The names of any related resources that are blocking changes to the annotation spec set.
"A String",
],
"description": "A String", # Optional. User-provided description of the annotation specification set. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name for AnnotationSpecSet that you define when you create it. Maximum of 64 characters.
"name": "A String", # Output only. The AnnotationSpecSet resource name in the following format: "projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}"
}</pre>
</div>
<div class="method">
<code class="details" id="delete">delete(name, x__xgafv=None)</code>
<pre>Deletes an annotation spec set by resource name.
Args:
name: string, Required. AnnotationSpec resource name, format: `projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}`. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
}</pre>
</div>
<div class="method">
<code class="details" id="get">get(name, x__xgafv=None)</code>
<pre>Gets an annotation spec set by resource name.
Args:
name: string, Required. AnnotationSpecSet resource name, format: projects/{project_id}/annotationSpecSets/{annotation_spec_set_id} (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # An AnnotationSpecSet is a collection of label definitions. For example, in image classification tasks, you define a set of possible labels for images as an AnnotationSpecSet. An AnnotationSpecSet is immutable upon creation.
"annotationSpecs": [ # Required. The array of AnnotationSpecs that you define when you create the AnnotationSpecSet. These are the possible labels for the labeling task.
{ # Container of information related to one possible annotation that can be used in a labeling task. For example, an image classification task where images are labeled as `dog` or `cat` must reference an AnnotationSpec for `dog` and an AnnotationSpec for `cat`.
"description": "A String", # Optional. User-provided description of the annotation specification. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name of the AnnotationSpec. Maximum of 64 characters.
"index": 42, # Output only. This is the integer index of the AnnotationSpec. The index for the whole AnnotationSpecSet is sequential starting from 0. For example, an AnnotationSpecSet with classes `dog` and `cat`, might contain one AnnotationSpec with `{ display_name: "dog", index: 0 }` and one AnnotationSpec with `{ display_name: "cat", index: 1 }`. This is especially useful for model training as it encodes the string labels into numeric values.
},
],
"blockingResources": [ # Output only. The names of any related resources that are blocking changes to the annotation spec set.
"A String",
],
"description": "A String", # Optional. User-provided description of the annotation specification set. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name for AnnotationSpecSet that you define when you create it. Maximum of 64 characters.
"name": "A String", # Output only. The AnnotationSpecSet resource name in the following format: "projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}"
}</pre>
</div>
<div class="method">
<code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
<pre>Lists annotation spec sets for a project. Pagination is supported.
Args:
parent: string, Required. Parent of AnnotationSpecSet resource, format: projects/{project_id} (required)
filter: string, Optional. Filter is not supported at this moment.
pageSize: integer, Optional. Requested page size. Server may return fewer results than requested. Default value is 100.
pageToken: string, Optional. A token identifying a page of results for the server to return. Typically obtained by ListAnnotationSpecSetsResponse.next_page_token of the previous [DataLabelingService.ListAnnotationSpecSets] call. Return first page if empty.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Results of listing annotation spec set under a project.
"annotationSpecSets": [ # The list of annotation spec sets.
{ # An AnnotationSpecSet is a collection of label definitions. For example, in image classification tasks, you define a set of possible labels for images as an AnnotationSpecSet. An AnnotationSpecSet is immutable upon creation.
"annotationSpecs": [ # Required. The array of AnnotationSpecs that you define when you create the AnnotationSpecSet. These are the possible labels for the labeling task.
{ # Container of information related to one possible annotation that can be used in a labeling task. For example, an image classification task where images are labeled as `dog` or `cat` must reference an AnnotationSpec for `dog` and an AnnotationSpec for `cat`.
"description": "A String", # Optional. User-provided description of the annotation specification. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name of the AnnotationSpec. Maximum of 64 characters.
"index": 42, # Output only. This is the integer index of the AnnotationSpec. The index for the whole AnnotationSpecSet is sequential starting from 0. For example, an AnnotationSpecSet with classes `dog` and `cat`, might contain one AnnotationSpec with `{ display_name: "dog", index: 0 }` and one AnnotationSpec with `{ display_name: "cat", index: 1 }`. This is especially useful for model training as it encodes the string labels into numeric values.
},
],
"blockingResources": [ # Output only. The names of any related resources that are blocking changes to the annotation spec set.
"A String",
],
"description": "A String", # Optional. User-provided description of the annotation specification set. The description can be up to 10,000 characters long.
"displayName": "A String", # Required. The display name for AnnotationSpecSet that you define when you create it. Maximum of 64 characters.
"name": "A String", # Output only. The AnnotationSpecSet resource name in the following format: "projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}"
},
],
"nextPageToken": "A String", # A token to retrieve next page of results.
}</pre>
</div>
<div class="method">
<code class="details" id="list_next">list_next()</code>
<pre>Retrieves the next page of results.
Args:
previous_request: The request for the previous page. (required)
previous_response: The response from the request for the previous page. (required)
Returns:
A request object that you can call 'execute()' on to request the next
page. Returns None if there are no more items in the collection.
</pre>
</div>
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