Data Structure ?
355M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
KAISTシーンテキストデータセットには、さまざまな環境で撮影された3000枚の画像が含まれており、さまざまな照明条件（晴れた昼間、夜、強い人工照明など）下の屋外および屋内のシーンが含まれます。高解像度のデジタルカメラまたは低解像度の携帯電話カメラで画像を撮影します。すべての画像のサイズは640×480に調整されています。
KAISTシーンテキストデータベースは、撮影されたシーンテキストの言語に基づいて分類されます：韓国語、英語（数字）、および混合語（韓国語 + 英語 + 数字）。画像内のシーンテキストは、韓国の道路や商店に見られる一般的なテキストを表しています。
参考文献
Jehyun Jung、SeongHun Lee、Min Su Cho、およびJin Hyung Kim、「Touch TT: タッチスクリーンインターフェースを使用したシーンテキスト抽出器」、ETRI Journal 2011
SeongHun Lee、Min Su Cho、Kyomin Jung、およびJin Hyung Kim、「エッジ制約とテキスト共線性リンクによるシーンテキスト抽出」、第20回国際パターン認識会議（ICPR）、2010年8月、トルコのイスタンブール。
連絡先著者
教授 Jin Hyung Kim 人工知能とパターン認識研究室、 KAISTコンピュータサイエンス学科、韓国 電話：82 - 42 - 350 - 3517 メール：Jkim @ kaist.ac.kr
Seonghun Lee 人工知能とパターン認識研究室、 KAISTコンピュータサイエンス学科、韓国 メール：leesh @ ai.kaist.ac.kr
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