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---
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) |