README.md

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

model-index:
- name: digit_recognition2
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.19801980257034302
---

# digit_recognition2


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 1

![number 1](images/number_1.jpg)

#### number 2

![number 2](images/number_2.jpg)

#### number 3

![number 3](images/number_3.jpg)

#### number 4

![number 4](images/number_4.jpg)

#### number 5

![number 5](images/number_5.jpg)

#### number 6

![number 6](images/number_6.jpg)

#### number 7

![number 7](images/number_7.jpg)

#### number 8

![number 8](images/number_8.jpg)

#### number 9

![number 9](images/number_9.jpg)