YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Age and Gender Prediction Model

A simple CNN model for predicting age (regression) and gender (classification) from facial images.

Usage

import torch
from model import SimpleCNN

model = SimpleCNN()
model.load_state_dict(torch.load('model.safetensors'))
model.eval()

Model Details

  • Input: 224x224 RGB images
  • Output: Age (continuous), Gender (0=female, 1=male)
  • Parameters: 643,362
  • Task: Multi-task learning (regression + classification)

Architecture

  • Custom CNN backbone with 4 convolutional blocks
  • Separate heads for age regression and gender classification
  • Dropout for regularization

Training

This is a baseline model architecture. For best results, fine-tune on your specific dataset.

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support