| | --- |
| | tags: |
| | - image-classification |
| | - pytorch |
| | - huggingpics |
| | metrics: |
| | - accuracy |
| |
|
| | model-index: |
| | - name: test |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.9599999785423279 |
| | --- |
| | |
| | # test |
| |
|
| |
|
| | 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 |
| |
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| |
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| | #### number_0 |
| | |
| |  |
| | |
| | #### number_1 |
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| |  |
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| | #### number_2 |
| | |
| |  |
| | |
| | #### number_3 |
| |
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| |  |
| |
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| | #### number_4 |
| | |
| |  |
