# Tagging collections
<a name="tag-collections"></a>

You can identify, organize, search for, and filter Amazon Rekognition collections by using tags. Each tag is a label consisting of a user-defined key and value.

You can also use tags to control access for a collection by using Identity and Access Management (IAM). For more information, see [Controlling access to AWS resources using resource tags](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_tags.html).

**Topics**
+ [Add tags to a new collection](#add-tag-new-collection)
+ [Add tags to an existing collection](#add-tag-existing-collection)
+ [List tags in a collection](#list-tags-collection)
+ [Delete tags from a collection](#delete-tag-collection)

## Add tags to a new collection
<a name="add-tag-new-collection"></a>

You can add tags to a collection as you create it using the `CreateCollection` operation. Specify one or more tags in the `Tags` array input parameter.

------
#### [ AWS CLI ]

 Replace the value of `profile_name` with the name of your developer profile. 

```
aws rekognition create-collection --collection-id "collection-name" --tags "{"key1":"value1","key2":"value2"}" --profile profile-name 
```

For Windows devices:

```
aws rekognition create-collection --collection-id "collection-name" --tags "{\"key1\":\"value1\",\"key2\":\"value2\"}" --profile profile-name
```

------
#### [ Python ]

 Replace the value of `profile_name` in the line that creates the Rekognition session with the name of your developer profile. 

```
import boto3

def create_collection(collection_id):
    client = boto3.client('rekognition')

    # Create a collection
    print('Creating collection:' + collection_id)
    response = client.create_collection(CollectionId=collection_id)
    print('Collection ARN: ' + response['CollectionArn'])
    print('Status code: ' + str(response['StatusCode']))
    print('Done...')

def main():
    collection_id = 'NewCollectionName'
    create_collection(collection_id)

if __name__ == "__main__":
    main()
```

------

## Add tags to an existing collection
<a name="add-tag-existing-collection"></a>

To add one or more tags to an existing collection, use the `TagResource` operation. Specify the collection's Amazon Resource Name (ARN) (`ResourceArn`) and the tags (`Tags`) that you want to add. The following example shows how to add two tags.

------
#### [ AWS CLI ]

 Replace the value of `profile_name` with the name of your developer profile. 

```
aws rekognition tag-resource --resource-arn collection-arn --tags "{"key1":"value1","key2":"value2"}" --profile profile-name 
```

 For Windows devices: 

```
aws rekognition tag-resource --resource-arn collection-arn --tags "{\"key1\":\"value1\",\"key2\":\"value2\"}" --profile profile-name
```

------
#### [ Python ]

 Replace the value of `profile_name` in the line that creates the Rekognition session with the name of your developer profile. 

```
# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)

import boto3

def create_tag(collection_id):
    session = boto3.Session(profile_name='default')
    client = session.client('rekognition')
    response = client.tag_resource(ResourceArn=collection_id,
                                   Tags={
                                       "KeyName": "ValueName"
                                   })
    print(response)
    if "'HTTPStatusCode': 200" in str(response):
        print("Success!!")

def main():
    collection_arn = "collection-arn"
    create_tag(collection_arn)

if __name__ == "__main__":
    main()
```

------

**Note**  
If you do not know the collection's Amazon Resource Name, you can use the `DescribeCollection` operation.

## List tags in a collection
<a name="list-tags-collection"></a>

To list the tags attached to a collection, use the `ListTagsForResource` operation and specify the ARN of the collection (`ResourceArn`). The response is a map of tag keys and values that are attached to the specified collection.

------
#### [ AWS CLI ]

 Replace the value of `profile_name` with the name of your developer profile. 

```
aws rekognition list-tags-for-resource --resource-arn resource-arn --profile profile-name
```

------
#### [ Python ]

 Replace the value of `profile_name` in the line that creates the Rekognition session with the name of your developer profile. 

```
import boto3

def list_tags():
    client = boto3.client('rekognition')
    response = client.list_tags_for_resource(ResourceArn="arn:aws:rekognition:region-name:5498347593847598:collection/NewCollectionName")
    print(response)

def main():
    list_tags()

if __name__ == "__main__":
    main()
```

------

The output displays a list of tags attached to the collection:

```
                {
    "Tags": {
        "Dept": "Engineering",
        "Name": "Ana Silva Carolina",
        "Role": "Developer"
    }
}
```

## Delete tags from a collection
<a name="delete-tag-collection"></a>

To remove one or more tags from a collection, use the `UntagResource` operation. Specify the ARN of the model (`ResourceArn`) and the tag keys (`Tag-Keys`) that you want to remove.

------
#### [ AWS CLI ]

Replace the value of `profile_name` with the name of your developer profile.

```
aws rekognition untag-resource --resource-arn resource-arn --profile profile-name --tag-keys "key1" "key2"
```

Alternatively, you can specify tag-keys in this format:

```
--tag-keys key1,key2
```

------
#### [ Python ]

 Replace the value of `profile_name` in the line that creates the Rekognition session with the name of your developer profile. 

```
import boto3

def list_tags():
    client = boto3.client('rekognition')
    response = client.untag_resource(ResourceArn="arn:aws:rekognition:region-name:5498347593847598:collection/NewCollectionName", TagKeys=['KeyName'])
    print(response)

def main():
    list_tags()

if __name__ == "__main__":
    main()
```

------