MediaPipe Face Mesh Plotting: Instant 3D Facial Landmarks on Any Image

What It Is

MediaPipe Face Mesh Plotting is a compact model on AIOZ AI V1 that can detect up to 468 facial landmarks from scanned images and overlay them with a precise 3D mesh.

Built on the MediaPipe Face Mesh framework, it can be integrated into Python projects or web applications easily and is ideal for face-based analysis or effects.

How It Works

1. Input: User uploads a .jpg or .png image
2. Processing: The model detects one or two faces and plots the full 3D landmark mesh
3. Output: The model returns an annotated image and the raw landmark coordinates (.png + .json) for easy downstream use

Key Features

• Dense Landmarks: 3D points for detailed expression and pose analysis.
• Two-Face Support: Tracks up to two faces per frame by default.
• PyTorch + MediaPipe core: Runs on CPU or GPU with minimal dependencies.

Ideal Use Cases

• AR Filters & Virtual Try-On: Anchor glasses, makeup, or masks precisely.
• Avatar Animation: Drive rigged characters with real facial movement.
• Health & Sports Analytics: Measure symmetry, track fatigue, or muscle shifts.
• Security & Fintech: Add liveness detection to face ID pipelines.

Getting started

1. Install the three required Python packages.
2. Call the model with a photo that includes a face.
3. Receive a mesh-annotated image alongside its landmark coordinates.
4. Overlay, store, or analyze the results as you wish—no extra post-processing is needed.

License

Based on the original work by Hysts. Full license details are available on the model page.

Try it now

Upload a face photo and watch the mesh appear in seconds on the MediaPipe Face Mesh Plotting model page.