---
# System prepended metadata

title: landing.ai

---

# landing.ai

## Case

![](https://i.imgur.com/PRLG57D.jpg)
![](https://i.imgur.com/JBZQWRr.jpg)
![](https://i.imgur.com/tSQvgRN.jpg)


## Platform project lifecycle
![](https://i.imgur.com/6NIr2HO.png)

1. Defect/Data Management (DM)
集中管理訓練資料、標記資料整理
2. Model iteration (MI)
模型訓練&驗證
3. Continuous learning (CL)
模型部署後持續驗證&訓練


defect book->defect consensus->data dplitting
![](https://i.imgur.com/P66zChE.jpg)

## 摘要
1. end to end platform
2. ML Model 只是一小部分 deploy 是非常重要一環
3. 三方合作 Subject Matter Expert、 Machine Learning Engineer、Labeler
4. 需要確保defect label



[toy dataset](https://drive.google.com/file/d/15wbZFt4WLPpyb7dPDSCh--QaJy-eFbwv/view)