- 0.173.0 (latest)
- 0.172.0
- 0.171.0
- 0.169.0
- 0.168.0
- 0.167.0
- 0.166.0
- 0.165.0
- 0.164.0
- 0.163.0
- 0.162.0
- 0.161.0
- 0.160.0
- 0.159.0
- 0.157.0
- 0.156.0
- 0.155.0
- 0.154.0
- 0.153.0
- 0.152.0
- 0.151.0
- 0.150.0
- 0.149.0
- 0.148.0
- 0.147.0
- 0.144.0
- 0.143.0
- 0.142.0
- 0.141.0
- 0.140.0
- 0.139.0
- 0.138.0
- 0.137.0
- 0.136.0
- 0.135.0
- 0.134.0
- 0.133.0
- 0.132.0
- 0.131.0
- 0.129.0
- 0.128.0
- 0.127.0
- 0.126.0
- 0.125.0
- 0.124.0
- 0.123.7
- 0.122.11
google-cloud-datalabeling overview (0.155.0)
Key Reference Links
Data Labeling Description: Is a service that lets you work with human labelers to generate highly accurate labels for a collection of data that you can use to train your machine learning models.
Data Labeling Product Reference | GitHub Repository (includes samples) | Maven artifact |
Getting Started
In order to use this library, you first need to go through the following steps:
- Install a JDK (Java Development Kit)
- Select or create a Cloud Platform project
- Enable billing for your project
- Enable the API
- Set up authentication
Use the Data Labeling for Java
To ensure that your project uses compatible versions of the libraries
and their component artifacts, import com.google.cloud:libraries-bom
and use
the BOM to specify dependency versions. Be sure to remove any versions that you
set previously. For more information about
BOMs, see Google Cloud Platform Libraries BOM.
Maven
Import the BOM in the dependencyManagement
section of your pom.xml
file.
Include specific artifacts you depend on in the dependencies
section, but don't
specify the artifacts' versions in the dependencies
section.
The example below demonstrates how you would import the BOM and include the google-cloud-datalabeling
artifact.
<dependencyManagement> <dependencies> <dependency> <groupId>com.google.cloud</groupId> <artifactId>libraries-bom</artifactId> <version> 26.32.0</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <dependencies> <dependency> <groupId>com.google.cloud</groupId> <artifactId>google-cloud-datalabeling</artifactId> </dependency> </dependencies>
Gradle
BOMs are supported by default in Gradle 5.x or later. Add a platform
dependency on com.google.cloud:libraries-bom
and remove the version from the
dependency declarations in the artifact's build.gradle
file.
The example below demonstrates how you would import the BOM and include the google-cloud-datalabeling
artifact.
implementation platform('com.google.cloud:libraries-bom: 26.32.0') implementation 'com.google.cloud:google-cloud-datalabeling'
The platform
and enforcedPlatform
keywords supply dependency versions
declared in a BOM. The enforcedPlatform
keyword enforces the dependency
versions declared in the BOM and thus overrides what you specified.
For more details of the platform
and enforcedPlatform
keywords Gradle 5.x or higher, see
Gradle: Importing Maven BOMs.
If you're using Gradle 4.6 or later, add
enableFeaturePreview('IMPROVED_POM_SUPPORT')
to your settings.gradle
file. For details, see
Gradle 4.6 Release Notes: BOM import.
Versions of Gradle earlier than 4.6 don't support BOMs.
SBT
SBT doesn't support BOMs. You can find recommended versions of libraries from a particular BOM version on the dashboard and set the versions manually. To use the latest version of this library, add this to your dependencies:
libraryDependencies += "com.google.cloud" % "google-cloud-datalabeling" % "0.155.0"
Which version should I use?
For this library, we recommend using API version v1beta1 for new applications.
Each Cloud Java client library may contain multiple packages. Each package containing a version number in its name corresponds to a published version of the service.
We recommend using the latest stable version for new production applications, which can be identified by the largest numeric version that does not contain a suffix.
For example, if a client library has two packages: v1
and v2alpha
, then the latest stable version is v1
.
If you use an unstable release, breaking changes may be introduced when upgrading.
You can read more about Cloud API versioning strategy here.