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

model-index:
- name: digit_recognition
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.10891088843345642
---

# digit_recognition


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


#### 1

![1](images/1.jpg)

#### 2

![2](images/2.jpg)

#### 3

![3](images/3.jpg)

#### 4

![4](images/4.jpg)

#### 5

![5](images/5.jpg)

#### 6

![6](images/6.jpg)

#### 7

![7](images/7.jpg)

#### 8

![8](images/8.jpg)

#### 9

![9](images/9.jpg)