metadata
language: en
tags:
- head-pose
license: mit
library_name: keras
model-index:
- name: Janus
results:
- task:
type: image-classification
name: Head Pose Recognition (Up/Down)
dataset:
name: Custom Dataset
type: custom
metrics:
- name: acc
type: accuracy
value: 0.904
- name: val_acc
type: accuracy
value: 0.9222
- task:
type: image-classification
name: Head Pose Recognition (Tilt)
dataset:
name: Custom Dataset
type: custom
metrics:
- name: acc
type: accuracy
value: 0.7655
- name: val_acc
type: accuracy
value: 0.9135
- task:
type: image-classification
name: Head Pose Recognition (Facing)
dataset:
name: Custom Dataset
type: custom
metrics:
- name: acc
type: accuracy
value: 0.9243
- name: val_acc
type: accuracy
value: 0.9462
pipeline_tag: image-classification
Janus: Multi-Task Head Pose Recognition Model
Model Description
Janus is a multi-class head pose recognition model that identifies key directional movements of the head. Named after the Roman god with two faces, Janus symbolizes different directions and perspectives. This model is designed for real-time applications such as gesture recognition, virtual meetings, and interactive systems.
Key Features
- Framework: Keras
- Model Type: Functional (with combined multi-task outputs)
- Input: 468 facial landmarks (x, y, z coordinates) from MediaPipe
- Output: Classifications for head direction, motion, and up/down movement
- Tasks:
- Head Direction: Front, Left, Right
- Head Motion: Tilt, Turn
- Up/Down Motion: Up, Down, Unknown
Limitations
- May not perform well on extreme or non-standard head poses
- Optimized primarily for front-facing camera angles
Ethical Considerations
- Use responsibly and avoid applications that could misuse facial data
- Respect privacy and data protection regulations
License
This model is released under the MIT License.
Citation
If you use this model in your research, please cite:
@inproceedings{SUKO KUO_2024_janus,
title={Janus: Multi-Task Head Pose Recognition Model},
author={SUKO KUO},
year={2024},
url={https://huggingface.co/suko/Janus}
}