This repository contains Capstone project work for Beanstalk (Hamoye DataScience internship):
(Convolutional Neural Networks)
A Model to analyze face pictures of different genders and age groups. The dataset includes a CSV of facial images that are labeled on the basis of age, gender, and ethnicity, and it includes 27305 rows and 5 columns, age, ethnicity, gender, img_name and pixels. The link to the dataset can be found at:
https://www.kaggle.com/datasets/nipunarora8/age-gender-and-ethnicity-face-data-csv.
- Evaluated the model and the results are:
- Loss: 91.152885
- Gender Accuracy: 0.906559
- Age Accuracy: 0.800337
- Age Loss: 0.539453
- Gender Loss: 0.2430106