---
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)