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

model-index:
- name: ST-VG-FU
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.6875
---

# ST-VG-FU


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


#### Black stone

![Black stone](images/Black_stone.jpg)

#### fruit

![fruit](images/fruit.jpg)

#### plant

![plant](images/plant.jpg)

#### vegetable

![vegetable](images/vegetable.jpg)

#### white stone

![white stone](images/white_stone.jpg)