sreejith782/Dermacare_Skin_Lesion_classification

Dermacare Skin Lesion Classification

Dermacare is a skin lesion classification model built using Keras. It classifies dermatoscopic images into various types of skin lesions, aiding in the early detection of skin cancer.

Model Architecture

The model is a Convolutional Neural Network (CNN) trained on the HAM10000 dataset with the following key specifications:

• Input: 224x224 RGB images
• Architecture: Keras-based CNN
• Output: 7-class classification for different types of skin lesions

Usage Example

To use the model for predictions, send an image to the inference endpoint as shown below:

import requests

API_URL = "https://api-inference.huggingface.co/models/sreejith782/Dermacare_Skin_Lesion_classification"
headers = {"Authorization": "Bearer YOUR_HUGGING_FACE_TOKEN"}

response = requests.post(API_URL, headers=headers, files={"inputs": open("path_to_image.jpg", "rb")})
print(response.json())