Data Labeling API client library
Project description
Google Cloud Data Labeling API: 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.
Quick Start
In order to use this library, you first need to go through the following steps:
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-datalabelingWindows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-datalabelingNext Steps
Read the Client Library Documentation for Google Cloud Data Labeling API to see other available methods on the client.
Read the Google Cloud Data Labeling API 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.
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