SmiloAI_model_v1_2-alpha.keras

SmiloAI_model_v1_2.keras

Overview

SmiloAI_model_v1_2.keras is the upgraded version of SmiloAI_model_v1-alpha.h5, designed for enhanced facial and smile analysis.
This version introduces improvements in detecting tooth visibility, smile details, and early cavity signs — providing a more accurate and context-aware understanding of facial expressions.

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Why We Moved from .h5 to .keras

1. Modern Format:
   .keras is now the official Keras model format, offering better reliability and compatibility with TensorFlow 2.11+ and future releases.

2. Complete Model Preservation:
   The new format saves not only weights but also model configuration, training parameters, and custom objects — ensuring consistent loading across environments.

3. Performance Optimization:
   .keras models load and save faster compared to the legacy .h5 format.

4. Future-Proofing:
   The .keras format ensures SmiloAI models remain stable and compatible with upcoming TensorFlow/Keras updates.

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Accuracy & Detection Improvements

• Enhanced Mouth Region Focus:
  Improved fine-grain detection around the mouth area, making the model more sensitive to tooth visibility and smile structure.

• Cavity Detection:
  Slightly better recognition of potential cavity patterns and tooth irregularities from image input.

• Optimized Preprocessing:
  Better lighting, contrast, and color normalization during training increased robustness to real-world lighting conditions.

Performance Comparison

Feature	v1-alpha (.h5)	v1_2 (.keras)
Format Type	Legacy HDF5	Native Keras
Load Speed	Moderate	Faster
Compatibility	TensorFlow ≤2.10	TensorFlow ≥2.11
Smile/Tooth Detection	Basic	More precise
Cavity Detection	Limited	Improved
Accuracy Gain	—	+3–5% overall

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Usage

from tensorflow import keras

# Load the model
model = keras.models.load_model("SmiloAI_model_v1_2.keras")

# Make predictions
pred = model.predict(input_image)
print(pred)