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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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- recall |
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- precision |
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- f1 |
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model-index: |
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- name: vision_transformer_mura_model_v3 |
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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: 0.8122969269752502 |
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- name: Recall |
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type: recall |
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value: 0.8786994581075448 |
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- name: Precision |
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type: precision |
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value: 0.8208722741433022 |
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- name: F1 |
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type: f1 |
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value: 0.8488020938192068 |
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datasets: |
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- KhalfounMehdi/mura_dataset_processed_224px_train_val |
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--- |
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# vision_transformer_mura_model_v3 |
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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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## Evaluation results: |
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**accuracy:** 0.8122969257685578 |
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**recall:** 0.8786994581075448 |
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**precision:** 0.8208722741433022 |
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**f1:** 0.8488020938192068 |
