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language: en
license: mit
tags:
- image-classification
- face-shape
- tensorflow
- mobilenetv2
base_model: google/mobilenet_v2
datasets:
- niten19/face-shape-dataset
metrics:
- accuracy
model-index:
- name: face-shape-classifier
results:
- task:
type: image-classification
dataset:
name: face-shape-dataset
type: niten19/face-shape-dataset
metrics:
- type: accuracy
value: 0.63
---
# Face Shape Classifier
## Project Overview
AI-powered app that detects face shape from photo and suggests best hairstyle.
## Model Details
- Architecture: MobileNetV2 (Transfer Learning)
- Framework: TensorFlow/Keras
- Validation Accuracy: 63%
- Epochs: 25
## Dataset
- Source: Kaggle - niten19/face-shape-dataset
- Classes: Heart, Oval, Round, Square, Oblong
- Training Images: 4000
- Testing Images: 1000
## Tech Stack
- Python
- TensorFlow
- MediaPipe
- OpenCV
- Streamlit
## ML Pipeline
1. Photo Upload
2. Face Detection (MediaPipe)
3. Face Shape Classification (MobileNetV2)
4. Hairstyle Recommendation
5. Virtual Try-On Overlay |