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Skin Cancer Image Classification (ViT, HAM10000)

huggingface
Image Generation

Vision Transformer fine-tuned on the HAM10000 dermatoscopy dataset. Classifies a skin-lesion image into seven categories: melanoma, melanocytic nevi, basal cell carcinoma, actinic keratoses, benign keratosis-like lesions, dermatofibroma and vascular lesions. Research and educational use only, not a diagnostic tool.

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TL;DR·Last updated June 24, 2026

Skin Cancer Image Classification (ViT, HAM10000) 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 Anwarkh1, trained on HAM10000 (about 10000 dermatoscopic images of common pigmented skin lesions). Returns a probability over the seven HAM10000 lesion classes for a single input image. It is one of the more downloaded skin-lesion classifiers on the Hugging Face Hub. The model reflects the biases and distribution of its training data and must not be used for medical diagnosis or to make health decisions.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate Skin Cancer Image Classification (ViT, HAM10000) into your application.

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

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("anwarkh1-skin-cancer-image-classification", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("anwarkh1-skin-cancer-image-classification", "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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