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

model-index:
- name: medical
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9560439586639404
---

# medical


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


#### adenocarcinoma

![adenocarcinoma](images/adenocarcinoma.png)

#### largecellcarcinoma

![largecellcarcinoma](images/largecellcarcinoma.png)

#### normal

![normal](images/normal.png)

#### squamouscellcarcinoma

![squamouscellcarcinoma](images/squamouscellcarcinoma.png)