ViT HAM10000 Sharpened Skin Lesion Classifier

huggingface
Image Generation

ViT-base classifier fine-tuned on HAM10000 dermatoscopy images with a sharpening preprocessing step. Predicts the seven standard HAM10000 lesion classes (akiec, bcc, bkl, df, mel, nv, vasc) for a single skin-lesion image. Research and educational use only, not a medical diagnostic.

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TL;DRΒ·Last updated June 24, 2026

ViT HAM10000 Sharpened Skin Lesion Classifier is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

ViTForImageClassification model by ahishamm trained on the HAM10000 dataset with images sharpened before training, an ablation aimed at testing whether edge enhancement helps lesion classification. Output is a class distribution over the seven HAM10000 categories: actinic keratoses (akiec), basal cell carcinoma (bcc), benign keratosis-like lesions (bkl), dermatofibroma (df), melanoma (mel), melanocytic nevi (nv) and vascular lesions (vasc). Not validated for clinical use.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate ViT HAM10000 Sharpened Skin Lesion Classifier into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("ahishamm-vit-base-ham-10000-sharpened", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("ahishamm-vit-base-ham-10000-sharpened", "A cat in space", {
  size: "1024x1024",
  n: 1,
});
console.log(res.data[0].url);
Specifications
Price
€1.00
Developer
huggingface
Category
Image Generation
Supported Formats
image
Tags
medical
research
not-diagnostic
dermatology
skin-cancer
ham10000
vit
image-classification

Frequently asked questions

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