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

model-index:
- name: test
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9599999785423279
---

# test


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


#### number_0

![number_0](images/number_0.png)

#### number_1

![number_1](images/number_1.png)

#### number_2

![number_2](images/number_2.png)

#### number_3

![number_3](images/number_3.png)

#### number_4

![number_4](images/number_4.png)