---
# System prepended metadata

title: 標記工具
tags: [ML, ML / 時間序列, 標記工具, 時間序列]

---

標記工具
===
###### tags: `ML / 時間序列`
###### tags: `ML`, `時間序列`, `標記工具`

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[TOC]

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## Label Studio
### https://labelstud.io/
> Robots, Sensors, IoT Devices

![](https://i.imgur.com/sX3hUiV.png)

- ### Classification
    Put time series into categories
- ### Segmentation
    Identify regions relevant to the activity type you're building your ML algorithm for
- ### Event Recognition
    Label single events on plots of time series data

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### [Time Series Labeling](https://labelstud.io/templates/time_series.html#Video-amp-audio-sync-with-time-series)
- Config
- Input formats
- Output format
- Special cases
    - Multiple time series in one project

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### [個人看法] 時間序列的任務
- ### 預測 (趨勢、週期性)
    - 週期性：如流感季節性、潮汐現象
- ### 整體分類
	- 整體時間序列資料 -> 一個類別
	    - 一首 mp3 是：好聽？普通？難聽？
- ### 波形辨識
    - 部份時間序列資料 -> 一個類別
        - [心電圖的波形辨識](https://helloyishi.com.tw/heart-health/what-is-electrocardiography/)
            ![](https://i.imgur.com/B4KwI95.png)
            - P、Q、R、S、T波
- ### 判別波形品質
    > Multi-step annotation
    - 部份時間序列資料 -> 程度
        ![](https://i.imgur.com/67NICwj.png)

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## 真實資料如何標記
### [心電圖怎麼看？波型判讀及檢查流程介紹](https://helloyishi.com.tw/heart-health/what-is-electrocardiography/)