Skin Lesion Analysis

Upload a clear image of your skin lesion for AI-powered analysis

How to get the best results

  • Use good lighting conditions
  • Keep the lesion centered in the image
  • Use a clear, in-focus image
  • Include only the area of concern

About Our Models

MobileNetV2

Optimized for speed and efficiency with 74% accuracy on the HAM10000 dataset.

EfficientNetB0

Higher accuracy model with 69% accuracy on skin cancer classification.

Drag & drop your image here or browse

Supported formats: JPG, JPEG, PNG

Analyzing your image...

Frequently Asked Questions

How accurate is the AI analysis?

Our models have been trained on large datasets of dermatological images. MobileNetV2 has approximately 74% accuracy on the HAM10000 dataset, while EfficientNetB0 has about 69% accuracy on skin cancer classification. However, AI analysis should never replace professional medical diagnosis.

Is my data private and secure?

Yes. We do not store your uploaded images on our servers. All processing is done in real-time, and images are not saved after analysis. Your privacy is our priority.

Which skin conditions can the AI detect?

Our AI models can analyze seven types of skin lesions: Actinic keratoses, Basal cell carcinoma, Benign keratosis-like lesions, Dermatofibroma, Melanoma, Melanocytic nevi, and Vascular lesions.

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