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--- |
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tags: |
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- image-classification |
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- pytorch |
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library_name: generic |
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metrics: |
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- accuracy |
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model-index: |
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- name: krenzcolor_chkpt_classifier |
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results: |
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- task: |
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name: Image Classification |
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type: pair-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9196428656578064 |
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--- |
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# krenzcolor_chkpt_classifier |
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## KK色彩課程-作業節點檢查AI |
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Demo for checkpoint classification of the homework in Art course by "Krenz Cushart" |
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這個AI分類器會判斷同學在課程中L3,L4的臨摹，作業中將臨摹分成三個檢查點。 |
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判斷類別如下： |
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- chk1_fail |
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- chk1_pass |
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- chk2_fail |
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- chk2_pass |
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- chk3_fail |
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- chk3_pass |
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其中chk1,chk2,chk3分別代表檢查點一、二、三；fail及pass代表作業通過與否。 |
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## 範例： |
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將以下圖片上傳至右側方框 |
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#### chk1_pass |
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#### chk2_pass |
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#### chk3_pass |
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## 使用方法 |
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### 使用以下樣板填入臨摹（注意：務必將圖調整至224 x 224 pixels的大小再放入樣板右側空白處） |
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### 將圖片上傳到右側方匡 |
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### 上傳後會顯示各類別的機率 |
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