age gender prediction EU AI Act Compliance Profile

🏆 ViT Age-Gender Prediction: Vision Transformer for Facial Analysis

A state-of-the-art Vision Transformer model for simultaneous age estimation and gender classification, achieving 94.3% gender accuracy and 4.5 years age MAE on the UTKFace dataset.

🚀 One-Liner Usage

from model import predict_age_gender

result = predict_age_gender("your_image.jpg")
print(f"Age: {result['age']}, Gender: {result['gender']}")

That's it! One line to get age and gender predictions.

🆕 October 2025 Update - Discussion #5 Fixed

✅ Issue Resolved: Model now includes helper functions that return proper age and gender values (not LABEL_0/LABEL_1)

Recommended usage:

from model import predict_age_gender

result = predict_age_gender("image.jpg")
print(f"Age: {result['age']}, Gender: {result['gender']}")
print(f"Confidence: {result['gender_confidence']:.1%}")

Simple one-liner version:

from model import simple_predict

print(simple_predict("image.jpg"))
# Output: "25 years, Female (87.3% confidence)"

Important: These helper functions work correctly. The standard pipeline() approach returns LABEL_0/LABEL_1 and should not be used.

📱 Complete Examples

Basic Usage

from model import predict_age_gender

# Predict from file
result = predict_age_gender("your_image.jpg")
print(f"Age: {result['age']} years")
print(f"Gender: {result['gender']}")
print(f"Confidence: {result['gender_confidence']:.1%}")

# Predict from URL
result = predict_age_gender("https://example.com/face_image.jpg")
print(f"Predi

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