google-cloud-datalabeling 1.5.0

Data Labeling API client library

Data Labeling API: Public API for Google Cloud AI Data Labeling Service.

• Client Library Documentation

• Product Documentation

Quick Start

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Data Labeling API.

4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Supported Python Versions

Python >= 3.6

Deprecated Python Versions

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-datalabeling==0.4.1.

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-datalabeling

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-datalabeling

Next Steps

• Read the Client Library Documentation for Data Labeling API API to see other available methods on the client.

• Read the Data Labeling API Product documentation to learn more about the product and see How-to Guides.

• View this repository’s main README to see the full list of Cloud APIs that we cover.