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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: pond_image_classification_10 |
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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: 0.9948979616165161 |
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--- |
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# pond_image_classification_10 |
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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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#### Algae |
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![Algae](images/Algae.png) |
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#### Boiling |
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![Boiling](images/Boiling.png) |
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#### BoilingNight |
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![BoilingNight](images/BoilingNight.png) |
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#### Normal |
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![Normal](images/Normal.png) |
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#### NormalCement |
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![NormalCement](images/NormalCement.png) |
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#### NormalNight |
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![NormalNight](images/NormalNight.png) |
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#### NormalRain |
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![NormalRain](images/NormalRain.png) |