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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: Sign-Language |
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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: 1.0 |
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--- |
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# Sign-Language |
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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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#### A |
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![A](images/A.jpg) |
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#### B |
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![B](images/B.jpg) |
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#### C |
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![C](images/C.jpg) |
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#### D |
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![D](images/D.jpg) |
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#### E |
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![E](images/E.jpg) |
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#### F |
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![F](images/F.jpg) |
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#### G |
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![G](images/G.jpg) |
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#### H |
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![H](images/H.jpg) |
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#### I |
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![I](images/I.jpg) |
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#### K |
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![K](images/K.jpg) |
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#### L |
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![L](images/L.jpg) |
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#### M |
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![M](images/M.jpg) |
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#### N |
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![N](images/N.jpg) |
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#### O |
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![O](images/O.jpg) |
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#### P |
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![P](images/P.jpg) |
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#### Q |
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![Q](images/Q.jpg) |
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#### R |
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![R](images/R.jpg) |
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#### S |
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![S](images/S.jpg) |
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#### T |
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![T](images/T.jpg) |
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#### U |
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![U](images/U.jpg) |
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#### V |
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![V](images/V.jpg) |
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#### W |
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![W](images/W.jpg) |
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#### X |
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![X](images/X.jpg) |
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#### Y |
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![Y](images/Y.jpg) |