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---
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) |