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face-landmarks-coreml
robertteleng/face-landmarks-coreml
face-landmarks-coreml is a machine learning model from robertteleng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for coreml. The card lists the license as apache-2.0.
Face landmark model converted to CoreML (.mlpackage) to run on the Apple Neural Engine, for use inside iOS apps.
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At a glance
- Library
- coreml
- License
- apache-2.0
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026
- SHA
- e597aadd
Base models
Model card
From the Hugging Face model README
FaceLandmarks · CoreML
Face landmark model converted to CoreML (.mlpackage) to run on the Apple Neural Engine,
for use inside iOS apps.
Converted with robertteleng/coreml-forge:
uv run python scripts/export_face_landmarks.py
What this is, and what it is not
This is a format conversion, not a new model. The weights are MediaPipe's face landmark model, reached through MediaPipePyTorch. No retraining and no fine-tuning were done. Accuracy is whatever the original model has.
The value added here is the conversion itself: getting the graph to trace cleanly and produce
an .mlpackage that the Neural Engine actually accepts.
Files
| File | What it is |
|---|---|
FaceLandmarks.mlpackage | CoreML package, ready to drop into an Xcode project |
Limitations
- Not benchmarked on-device here: no latency or accuracy numbers are published with it.
- Inherits the biases and failure modes of the upstream MediaPipe model, including uneven performance across skin tones and under occlusion.
- Converted for a recent iOS deployment target; older targets may need re-exporting.
Licence and attribution
Apache-2.0, following the upstream MediaPipe model and MediaPipePyTorch. Credit for the model belongs to Google (MediaPipe) and to the MediaPipePyTorch authors; this repository only redistributes a converted format.
- Library
- coreml
- License
- apache-2.0
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026