pytorch tensorboard vit image-classification transformers huggingpics model-index
---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy

model-index:
- name: skin_type
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.8222222328186035
---

# skin_type
Aiming for fairness in image classification for humans, knowing the skin type of subjects is relevant to make sure the model performs correctly on all skin types.

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


#### dark skin

![dark skin](images/dark_skin.jpg)

#### light skin

![light skin](images/light_skin.jpg)