google-cloud-datalabeling 1.8.3

Google Cloud Datalabeling API client library

Google Cloud Data Labeling: 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.

• 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 Google Cloud Data Labeling.

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.

Code samples and snippets

Code samples and snippets live in the samples/ folder.

Supported Python Versions

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

Unsupported Python Versions

Python <= 3.6

If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.

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 Google Cloud Data Labeling to see other available methods on the client.

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

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