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  "fetched_at": "2026-10-19T09:33:48Z",
  "source_url": "https://www.kaggle.com/competitions/face-recognition-xt122/data",
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      "content": "## Files\n\n*   **Train** - 訓練資料夾，資料排序如下：Train／類別／檔名.jpg\n*   **Test** - 測試資料夾，資料排序如下：Test／檔名.jpg\n*   **ClassMap.csv** - 類別對應標籤，請依照此順序編碼\n*   **SampleSubmission.csv** - 繳交範例，需有 filename 以及 label 兩個欄位",
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    {
      "name": "Description",
      "content": "# 挑戰人物辨識\n**經過 CNN 實戰練習後，大家應該都對 CNN 和 transfer learning 很熟悉了吧！ 來試試看更進階的題目吧**\n## 題目類型 - 分類問題：\nclass 總共有 4 位偶像與其他女明星，分別為 class 0, 1, 2, 3, 4，其中\n\n- class 0 = Jennie\n- class 1 = Jisoo\n- class 2 = Lisa\n- class 3 = Rose\n- class 4 = Others （其他女明星）\n\n## 問題：\n預測張圖片裡是誰 (0, 1, 2, 3, or 4)\n\n## 練習方向：\nCNN, Data augmentation, Face recognition\n\n## 通過條件：\n超越 Public baseline\n\n## 上傳次數：\n一天可以上傳 10 次，上傳時 Team Name 請以您的學號命名，如：XT122XXX",
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    {
      "name": "Evaluation ",
      "content": "**Metrics**\n\nThe evaluation metric for this competition is [Accuracy-Score](https://en.wikipedia.org/wiki/Accuracy_and_precision).",
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    {
      "name": "rules",
      "content": "多多與隔壁朋友討論實作方法\n可使用任何工具完成此期中考，但要自己做過一遍~\n利用現有的工具->Chat GPT, Bard, Bing",
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    {
      "name": "abstract",
      "content": "台灣人工智慧學校技術全域班第三期 期中考",
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