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 http://labelbox.com/ for more information.
The Labelbox Python API offers a simple, user-friendly way to interact with the Labelbox back-end.
Requirements
- Use Python 3.7 or 3.8.
- Create an account by visiting http://app.labelbox.com/.
- Generate an API key.
Installation & authentication
- 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:$PATH
- Install using Python's Pip manager.
pip install labelbox
- Pass your API key as an environment variable. Then, import and initialize the API Client.
user@machine:~$ export LABELBOX_API_KEY="<your api key here>"
user@machine:~$ python3
from labelbox import Client
client = Client()
Documentation
Visit our docs to learn how to create a project, read through some helpful user guides, and view our API reference.
Repo Organization and Contribution
Please consult CONTRIB.md
Testing
- Update the
Makefile
with yourstaging
orprod
API key. Ensure that docker has been installed on your system. Make sure the key is not from a free tier account. - To test on
staging
:
make test-staging
- To test on
prod
:
make test-prod
- 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}
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