Age-Gender Detection CNN
تفاصيل العمل
– Engineered a dual-output CNN architecture to simultaneously perform gender classification and age regression from facial imagery. – Optimized model performance to achieve 82.5% accuracy on gender detection and a 5.09 Mean Absolute Error (MAE) for age estimation. – Developed a complete computer vision workflow using OpenCV for real-time face detection and TensorFlow for high-speed inference on the UTKFace dataset.
مهارات العمل
بطاقة العمل
طلب عمل مماثل
