age-gender-resnet18

🧠 Finetuned ResNet18 — Age & Gender Classification

This repository contains a finetuned ResNet18 PyTorch model trained for predicting age group and gender from facial images.

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📌 Model Overview

• Base architecture: ResNet18 (ImageNet pretrained)
• Framework: PyTorch
• Task: Image Classification
• Output: Age group & Gender
• File: resnet18_finetuned_age_gender.pth
• License: Apache 2.0

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📥 How to Use This Model

1️⃣ Load ResNet18

import torch
from torchvision import models

model = models.resnet18()
state_dict = torch.hub.load_state_dict_from_url(
    "https://huggingface.co/a23f2003713a/age-gender-resnet18/resolve/main/resnet18_finetuned_age_gender.pth",
    map_location="cpu"
)
model.load_state_dict(state_dict)
model.eval()

## 📊 Applications
- Facial demographic analytics  
- Age estimation  
- Gender classification  
- Pre-training for face attribute recognition  
- Computer vision educational projects  

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## 📜 Training Info
The model was finetuned on an age/gender image dataset using:
- Adam optimizer  
- Cross entropy loss  
- Image augmentations  
- ResNet18 backbone  

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## 📂 Files in this Model Repo
- `resnet18_finetuned_age_gender.pth` — model weights
- `README.md` — description and usage

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### ✨ Author
Model uploaded using Kaggle + HuggingFace Hub.