Skip to main content

Labelbox Python API

Project description

Labelbox Python SDK

Labelbox is the enterprise-grade training data solution with fast AI enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration & SDK for extensibility. Visit Labelbox for more information.

The Labelbox Python API offers a simple, user-friendly way to interact with the Labelbox back-end.

Table of Contents

Requirements

Installation

Prerequisite: Install pip

pip is a package manager for Python. On macOS, you can set it up to use the default python3 install via -

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python3 get-pip.py

If the installation completes with a warning re: pip not being in your path, you'll need to add it by modifying your shell config (.zshrc, .bashrc or similar). You might have to modify the command below depending on the version of python3 on your machine.

export PATH=/Users/<your-macOS-username>/Library/Python/3.8/bin:$PATH

Install using Python's Pip manager.

pip install labelbox

Documentation

Authentication

Labelbox uses API keys to validate requests. You can create and manage API keys on Labelbox. Pass your API key as an environment variable. Then, import and initialize the API Client.

user@machine:~$ export LABELBOX_API_KEY="<your api key here>"
user@machine:~$ python3

from labelbox import Client
client = Client()

Contribution

Please consult CONTRIB.md

Testing

  1. Update the Makefile with your staging or prod API key. Ensure that docker has been installed on your system. Make sure the key is not from a free tier account.
  2. To test on staging:
make test-staging
  1. To test on prod:
make test-prod
  1. If you make any changes and need to rebuild the image used for testing, force a rebuild with the -B flag
make -B {build|test-staging|test_prod}

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

labelbox-2.7b0.tar.gz (64.7 kB view details)

Uploaded Source

Built Distribution

labelbox-2.7b0-py3-none-any.whl (79.6 kB view details)

Uploaded Python 3

File details

Details for the file labelbox-2.7b0.tar.gz.

File metadata

  • Download URL: labelbox-2.7b0.tar.gz
  • Upload date:
  • Size: 64.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for labelbox-2.7b0.tar.gz
Algorithm Hash digest
SHA256 a85c9bc8888cb6f2eb3789f6613b6c5476794795f6b55591e1bcdc780d0c1853
MD5 4f8248d8a3f4c97355d72e0e9d21ac29
BLAKE2b-256 f9a02343c0042d5018b41cc2df2efad23297f3a37db8f3f7d43a39ae03439655

See more details on using hashes here.

File details

Details for the file labelbox-2.7b0-py3-none-any.whl.

File metadata

  • Download URL: labelbox-2.7b0-py3-none-any.whl
  • Upload date:
  • Size: 79.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for labelbox-2.7b0-py3-none-any.whl
Algorithm Hash digest
SHA256 793eaa9ce9018c8594674ad7277be031a47c0b17ae6db47f363863262f0191f5
MD5 f46155a15bdb137379204bd96425730d
BLAKE2b-256 5edab6ac371e2a14cf350a2a94c0993cd6ec5c15d110083318ed9c55d2bfaa3f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page