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---
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) |