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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: Age_Classify_v001 |
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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: 0.5719775557518005 |
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--- |
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# Age_Classify_v001 |
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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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#### 0-2 |
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 |
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#### 10-19 |
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 |
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#### 20-29 |
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 |
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#### 3-9 |
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 |
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#### 30-39 |
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 |
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#### 40-49 |
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 |
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#### 50-59 |
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 |
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#### 60-69 |
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 |
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#### 70-79 |
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 |