---
language: en
license: mit
tags:
- skin-care
- image-classification
- cnn
- deep-learning
datasets:
- custom
pipeline_tag: image-segmentation
---

# 🧴 Skin-Care Classification Model

This model was trained to classify different skin conditions using deep learning.

## 🔎 Model Details
- **Framework**: TensorFlow / PyTorch (choose one)
- **Input**: Skin images
- **Output**: Predicted class (e.g., acne, normal, eczema, etc.)
- **Author**: [BARATHVISWARAJ](https://huggingface.co/BARATHVISWARAJ)

## 📊 Training
- Dataset: Custom skin-care dataset
- Image size: 224x224
- Optimizer: Adam
- Loss: CrossEntropy
- Epochs: (fill in your training details)

## 💡 Usage
```python
from transformers import AutoModel, AutoTokenizer
from PIL import Image
import torch

model = AutoModel.from_pretrained("BARATHVISWARAJ/Skin-Care")

# Example: loading image and running prediction
# (replace with actual preprocessing code)