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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: vit-world-landmarks |
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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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# vit-world-landmarks |
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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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#### arc de triomphe |
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![arc de triomphe](images/arc_de_triomphe.jpg) |
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#### big ben |
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![big ben](images/big_ben.jpg) |
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#### la sagrada familia |
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![la sagrada familia](images/la_sagrada_familia.jpg) |
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#### leaning tower of pisa |
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![leaning tower of pisa](images/leaning_tower_of_pisa.jpg) |
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#### taj mahal |
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![taj mahal](images/taj_mahal.jpg) |