IrisBarracuda
MediaPipe iris landmark detection model for Unity Barracuda
- Status
- UnmaintainedNo commits in 1290 days.
- Last checked
- Checked · Oct 11, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
A neural network model that detects iris landmarks using MediaPipe, specifically designed to work with Unity's Barracuda framework. This tool is essential for developers integrating advanced computer vision features into their Unity projects.
IrisBarracuda stands out as a specialized tool for iris landmark detection within Unity projects, offering high accuracy and seamless integration with Barracuda.
When it fits — and when it doesn’t
A good fit for
Developers building AR/VR projects in Unity who require precise iris tracking
Interactive game designers needing to incorporate gaze-based interactions into their games
Look elsewhere if
Projects that do not use the Unity engine or Barracuda framework
Applications requiring real-time processing on devices without sufficient computational power for neural network inference
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited support for languages other than C#
The tool is primarily designed and optimized for use with Unity, which predominantly uses C#. Users of other programming languages may face challenges in integrating IrisBarracuda into their projects.
- 02
Performance degradation on lower-end hardware
Real-time applications using IrisBarracuda can experience frame rate drops and increased latency when running on devices with limited computational resources, such as older or less powerful mobile devices.
- 03
Complex setup process for new users
Integrating IrisBarracuda into a Unity project requires several steps including setting up the Barracuda framework and configuring MediaPipe models, which can be overwhelming for beginners.
- 04
Dependence on external libraries like MediaPipe
IrisBarracuda relies heavily on MediaPipe for its functionality. Any issues or updates in the MediaPipe library could affect the performance and stability of IrisBarracuda.
What it does well
High accuracy iris landmark detection using MediaPipe
Seamless integration with Unity's Barracuda framework for efficient deployment
Optimized for real-time applications in Unity
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up IrisBarracuda
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for IrisBarracuda’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
[](https://navigateaitools.com/explorer/tool/jp-keijiro-mediapipe-iris)HTML
<a href="https://navigateaitools.com/explorer/tool/jp-keijiro-mediapipe-iris"><img src="https://navigateaitools.com/badge/jp-keijiro-mediapipe-iris.svg" alt="IrisBarracuda — tracked on AI Navigator" height="58"></a>