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--- |
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tags: |
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- image-classification |
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- pytorch |
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- huggingpics |
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metrics: |
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- accuracy |
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model-index: |
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- name: behavior |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5714285969734192 |
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--- |
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# behavior |
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Autogenerated by HuggingPics🤗🖼️ |
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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). |
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Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics). |
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## Example Images |
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#### anger |
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![anger](images/images-2020-11-06T183429-669_face_png.rf.948f830fac00fd9c171fadc970c09714.jpg) |
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#### disgust |
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![disgust](images/disgust.jpg) |
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#### fear |
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![fear](images/fear.jpg) |
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#### happiness |
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![happiness](images/happiness.jpg) |
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#### neutrality |
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![neutrality](images/neutrality.jpg) |
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#### sadness |
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![sadness](images/sadness.jpg) |
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#### surprise |
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![surprise](images/surprise.jpg) |