> For the complete documentation index, see [llms.txt](https://activities.kittenbot.hk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://activities.kittenbot.hk/aimask/aimaskintro.md).

# 比賽內容

### 聯合主辦機構

#### 何明華會督中學

#### 香港電腦教育學會

#### 工程思教育服務有限公司

#### Kittenbot HK

![](https://kittenbothkcompetition.readthedocs.io/en/latest/_images/leaflet.jpg)

### 日期：2021年3月27日

### 時間：上午10:00-12:30

### 地點：香港聖公會何明華會督中學禮堂

### 參賽隊伍：2-3位學生組成

### 內容：

透過人工智能的機器學習，訓練電腦視覺模型，判斷口罩狀況並設計可協助防疫的裝置。學生運用KittenBot KOI人工智能模組訓練模型判斷口罩佩戴狀況，並製作智能產品協助抗疫。

### 時間 活動

09:45-10:00 參賽隊伍報到 10:10-10:20 講解賽規、評判介紹 10:20-10:40 第1輪比賽 10:45-11:05 第2輪比賽 11:10-11:30 第3輪比賽 11:30-11:45 計分 11:45-12:00 頒獎禮

參賽隊伍會分為三組，同時間每組分別輪流進行以下項目：

AI模型訓練 – 口罩佩戴辨識 (40%) 準備已訓練的Kittenbot KOI人工智能模組，判斷由大會所提供的圖片內人物是否有正確佩戴口罩，並依成功率計算模型準確度。

抗疫裝置設計 (60%) 預先設計及製作抗疫裝置，即場向評審講解設計理念及運作示範 (不需PowerPoint演示) ，時間不多於三分鐘。作品依創意、外觀、講解及合作四方面，由評審評分。

神秘任務 會於特定地點完成神秘AI任務以獲取額外分數。

### 獎項：

冠、亞、季軍 人工智能模型訓練準確獎 智能發明創意獎 優異獎多名


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://activities.kittenbot.hk/aimask/aimaskintro.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
