๐ฏ Age Group Classification
This model classifies facial images into 5 age groups instead of predicting exact ages.
Why Age Groups?
- More reliable than exact age prediction
- Solves common bias where 70-year-olds are predicted as 30-year-olds
- More practical for most applications
Age Groups:
- ๐ถ Youth (0-20)
- ๐ง Young Adult (21-40)
- ๐จ Middle Age (41-60)
- ๐ด Senior (61-80)
- ๐ต Elderly (81-100)
Upload a clear frontal face image for best results!
Model Details
- Architecture: ResNet50V2 with transfer learning
- Performance: 75.5% validation accuracy
- Training: 13 epochs with early stopping
- Dataset: UTKFace (23,687 images)
Limitations
- Works best with frontal face images
- Performance may vary with extreme lighting
- Border cases between age groups can be challenging
Bias Correction
This model was specifically designed to solve age prediction bias, particularly the common issue where seniors are incorrectly classified as young adults.