Skip to content
Switch branches/tags

Latest commit

* Add 3D deepgrow support

* Update UI for support Deepgrow 3D mode

* Add PIP Package

* Update REAME

Git stats


Failed to load latest commit information.

NVIDIA AI-Assisted Annotation Client

NVIDIA AI-Assisted Annotation SDK follows a client-server approach to integrate into an application. Clara Train SDK container on is generally available for download, annotation server is included in the package. Once a user has setup the AI-Assisted Annotation Server, user can use either C++ or Python client to integrate the SDK into an existing medical imaging application.

Documentation GitHub license GitHub Releases GitHub Issues

Supported Platforms

AI-Assisted Annotation is a cross-platform C++/Python Client API to communicate with AI-Assisted Annotation Server for NVIDIA and it officially supports:

  • Linux (Ubuntu16+)
  • macOS (High Sierra and above)
  • Windows (Windows 10)


Following plugins integrate with NVIDIA AI-Assisted Annotation through either C++/Python Client APIs

Quick Start

Follow the Quick Start guide to build/install AI-Assisted Annotation Client Libraries for C++ and run some basic tools to verify few important functionalities like dextr3D, segmentation, fixPolygon over an existing AI-Assisted Annotation Server.

C++ Client Library provides support for CMake project

For installing py_client:

# 1. build first and install
python sdist bdist_wheel
python -m pip install dist/aiaa_client-*.whl

# 2. Or just install
python -m pip install -e ./

To use py_client in code:

from py_client import client_api


Contributions to NVIDIA AI-Assisted Annotation Client are more than welcome. To contribute make a pull request and follow the guidelines outlined in the CONTRIBUTING document.


Client side integration example source code and libraries for AI-Assisted Annotation SDK




No packages published