AWS Rekognition自定义标签模型可以通过导出和导入方式实现跨账户部署。 以下是示例代码：

1. 导出自定义标签模型

import boto3
from datetime import datetime

# 定义AWS账户的访问凭证
s3 = boto3.client('s3', region_name='us-west-2', aws_access_key_id='ACCESS_KEY_ID', aws_secret_access_key='SECRET_ACCESS_KEY')
rekognition = boto3.client('rekognition', region_name='us-west-2', aws_access_key_id='ACCESS_KEY_ID', aws_secret_access_key='SECRET_ACCESS_KEY')

# 将自定义标签模型导出至S3存储桶中
model_name = 'my-custom-label-model'
s3_bucket = 'my-bucket-name'
s3_key = 'models/{}/{}.output'.format(model_name, datetime.now().strftime('%Y-%m-%d-%H-%M-%S'))
response = rekognition.describe_project_versions(ProjectArn='arn:aws:rekognition:us-west-2:123456789012:project/my-project/version/{}'.format(model_name))
model_version_arn = response['ProjectVersionDescriptions'][0]['ProjectVersionArn']
s3.upload_fileobj(Fileobj=response['OutputConfig']['S3Bucket'], Bucket=s3_bucket, Key=s3_key)

2. 导入自定义标签模型

import boto3

# 定义AWS账户的访问凭证
s3 = boto3.client('s3', region_name='us-west-2', aws_access_key_id='ACCESS_KEY_ID', aws_secret_access_key='SECRET_ACCESS_KEY')
rekognition = boto3.client('rekognition', region_name='us-west-2', aws_access_key_id='ACCESS_KEY_ID', aws_secret_access_key='SECRET_ACCESS_KEY')

# 从S3存储桶中导入自定义标签模型至新AWS账户
model_name = 'my-custom-label-model'
s3_bucket = 'my-bucket-name'
s3_key = 'models/{}/{}.output'.format(model_name, datetime.now().strftime('%Y-%m-%d-%H-%M-%S'))
response = rekognition.create_project_version(ProjectArn='arn:aws:rekognition:us-west-2:123456789012:project/my-project', VersionName=model_name, OutputConfig={'S3Bucket': s3_bucket, 'S3KeyPrefix': 'models/{}/'.format(model_name)})