{
  "fetched_at": "2026-10-19T12:52:49Z",
  "source_url": "https://www.kaggle.com/competitions/2022computervisionhw2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The label classes in the dataset are:\n\n-   cloudy\n-   rain\n-  shine\n- sunrise\n\n## Files\n\n*   **train** - the training set\n*   **test** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n",
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    },
    {
      "name": "Description",
      "content": "這個資料集是用於多類天氣識別，該數據集是 1125 張圖像的集合，分為四類。圖像類別是sunrise、shine、rain和cloudy。\n請同學利用上課所講的內容建立一個神經網絡，來辨識圖片中的天氣是何種天氣。\n![](https://i.imgur.com/OrY8jCk.png)",
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      "hasIsPublished": false,
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    {
      "name": "Evaluation",
      "content": "提交的內容根據分類準確度（正確預測的標籤百分比)進行評估。(依照image_id來做A~Z排序)\n\n---\n\n請針對測試集資料去做分類，提交一份分類結果的csv檔\n其中，分類的label如下:\n\n- couldy : 0\n- rain : 1\n- shine : 2\n- sunrise : 3\n\n範例: \n\n![](https://i.imgur.com/gx7EiI0.png)",
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      "hasIsPublished": false,
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    },
    {
      "name": "rules",
      "content": "# 作業內容\n\n##  1. moodle 作業 (在moodle上提交)\n\n在moodle上需要繳交:\n\n- modle 結構圖\n- 訓練時的loss曲線圖\n- 訓練時的accuracy曲線圖\n- 預設結果的 confusion matrix\n\n## 2. kaggle 比賽 (在kaggle繳交)\n\n### 提交規定\n\n- 分類結果的提交格式為csv檔\n\n- 每日可提交10次\n\n\n###  Competition Timeline:\n\n- Start Date: 04/08/2022 17:00\n\n- End Date: 04/29/2022 23:59",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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      "hasMimeType": false
    }
  ]
}