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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: Emotions |
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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: 0.3125 |
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--- |
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# Emotions |
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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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#### Angry human face |
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![Angry human face](images/Angry_human_face.jpg) |
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#### Confused human face |
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![Confused human face](images/Confused_human_face.jpg) |
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#### Happy human face |
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![Happy human face](images/Happy_human_face.jpg) |
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#### Sad human face |
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![Sad human face](images/Sad_human_face.jpg) |
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#### Suprised human face |
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![Suprised human face](images/Suprised_human_face.jpg) |