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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: dog-races-v2 |
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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: 0.8299999833106995 |
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--- |
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# dog-races-v2 |
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Autogenerated Model created thannks to HuggingPics🤗🖼️. You can 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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This Model is an improvement to my last model, where the Chow Chow data included images of American pickles with the same name (contaminated data). |
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Current labels are: 1) Border Collie, 2) Chow Chow, 3) German Shepherd, 4) Golden Retriever, 5) Pug, 6) Rottweiler, 7) Shiba Inu, 8) Siberian Husky and 9) Tibetan Mastiff. |
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There is still room for improvement. |
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Model Accuracy: 82.99% |
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## Example Images |
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#### Border Collie |
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#### Chow Chow dog |
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#### German Shepherd |
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#### Golden Retriever |
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#### Pug |
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#### Rottweiler |
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#### Shiba Inu |
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#### Siberian Husky |
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#### Tibetan Mastiff |
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