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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: behavior
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5714285969734192
---
# behavior
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
#### anger
![anger](images/images-2020-11-06T183429-669_face_png.rf.948f830fac00fd9c171fadc970c09714.jpg)
#### disgust
![disgust](images/disgust.jpg)
#### fear
![fear](images/fear.jpg)
#### happiness
![happiness](images/happiness.jpg)
#### neutrality
![neutrality](images/neutrality.jpg)
#### sadness
![sadness](images/sadness.jpg)
#### surprise
![surprise](images/surprise.jpg) |