---
tags:
- image-classification
- pytorch
library_name: generic
metrics:
- accuracy

model-index:
- name: krenzcolor_chkpt_classifier
  results:
  - task:
      name: Image Classification
      type: pair-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9196428656578064
---

# krenzcolor_chkpt_classifier
## KK色彩課程-作業節點檢查AI
Demo for checkpoint classification of the homework in Art course by "Krenz Cushart"
這個AI分類器會自動判斷同學在課程中L3,L4的臨摹，作業中將臨摹分成三個檢查點。
這個AI分類器會自動判斷同學的作業屬於以下類別：
- chk1_fail,chk1_pass,chk2_fail,chk2_pass,chk3_fail,chk3_pass)

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。


## Example Images

#### chk1_fail

![chk1_fail](images/chk1_fail.jpg)

#### chk1_pass

![chk1_pass](images/chk1_pass.jpg)

#### chk2_fail

![chk2_fail](images/chk2_fail.jpg)

#### chk2_pass

![chk2_pass](images/chk2_pass.jpg)

#### chk3_fail

![chk3_fail](images/chk3_fail.jpg)

#### chk3_pass

![chk3_pass](images/chk3_pass.jpg)

## Template 

# 下載樣板並填入臨摹

![L3-1老頭石膏](images/L3_1_tmp.jpg)

![L3-2布料](images/L3_2_tmp.jpg)

![L3-1雞](images/L4_1_tmp.jpg)

![L3-1雲](images/L4_2_tmp.jpg)