Data Structure ?
847M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
PASCAL VOCプロジェクト：-オブジェクトクラス識別に標準化された画像データセットを提供する-データセットと注釈にアクセスする一連の汎用ツールを提供する-異なる方法の評価と比較を実現する-挑戦を実行してオブジェクトクラス識別性能を評価する（2005 - 2012年、現在は完了）コンテキストこの挑戦の目標は、実際のシーンの視覚的なオブジェクトクラス（つまり、事前に分割されていないオブジェクト）から識別することです。本質的に教師あり学習の問題であり、一連のラベル付き画像のトレーニングセットが提供されます。選定された20のオブジェクトカテゴリは以下の通りです：-人：人-動物：鳥、猫、牛、犬、馬、羊-車両：飛行機、自転車、船、バス、自動車、オートバイ、電車-屋内：ボトル、椅子、食卓、鉢植え、ソファ、テレビ/ディスプレイ-2つの主要なコンテストと、2つの小規模な「試食会」コンテストがあります。内容提供されるトレーニングデータは一連の画像で構成されています。各画像には注釈ファイルがあり、画像内の20クラスのうちの1つのクラスに属する各オブジェクトに対してバウンディングボックスとオブジェクトクラスラベルが提供されます。同一画像内に複数のクラスに属する複数のオブジェクトが存在する可能性があることに注意してください。謝辞@misc{pascal - voc - 2007，著者=“Everingham，M.とVan ~ Gool，L.とWilliams，C.K.I.とWinn，J.とZisserman，A。
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