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