---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy

model-index:
- name: skin-disorders-classifier
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.692307710647583
---

# skin-disorders-classifier


Autogenerated by HuggingPics🤗🖼️

Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).

Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).


## Example Images


#### Acne

![Acne](images/Acne.jpg)

#### Basal Cell Carcinoma

![Basal Cell Carcinoma](images/Basal_Cell_Carcinoma.jpg)

#### Eczema

![Eczema](images/Eczema.jpg)

#### Melanoma

![Melanoma](images/Melanoma.jpg)

#### Psoriasis

![Psoriasis](images/Psoriasis.jpg)

#### Ringworm

![Ringworm](images/Ringworm.jpg)

#### Rosacea

![Rosacea](images/Rosacea.jpg)

#### Seborrheic Dermatitis

![Seborrheic Dermatitis](images/Seborrheic_Dermatitis.jpg)

#### Shingles (Herpes Zoster)

![Shingles (Herpes Zoster)](images/Shingles_(Herpes_Zoster).jpg)

#### Vitiligo

![Vitiligo](images/Vitiligo.jpg)