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LabelMe意味分割データセット

LabelMe意味分割データセット

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Action/Event Detection Classification

データセットには、学習用の100枚の画像とテスト用の845枚の画像が含まれています(詳細については train.txt と test.txt を参照してください)。ラベルのカラーコードは(R:G:B)です。......

Data Structure ? 103M

    Data Structure ?

    *The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.

    README.md

    データセットには、訓練用の100枚の画像とテスト用の845枚の画像が含まれています(詳細については、train.txtとtest.txtを参照してください)。 ラベルのカラーコードは(R:G:B)です:

    • various = 0:0:0

    • building = 128:0:0

    • car = 128:0:128

    • door = 128:128:0

    • pavement = 128:128:128

    • road = 128:64:0

    • sky = 0:128:128

    • vegetation = 0:128:0

    • window = 0:0:128

    画像名

    データ引用:

    @INPROCEEDINGS{Froehlich - Rodner - Denzler - ICPR2010, 
        author = {Bj"orn Fr"ohlich and Erik Rodner and Joachim Denzler}, 
        title = {A Fast Approach for Pixelwise Labeling of Facade Images},
        booktitle = {Proceedings of the International Conference on Pattern Recognition (ICPR 2010)},
        year = {2010},
    }
    @inproceedings{Brust15:ECP, 
        author = {Clemens - Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler},
        booktitle = {CVPR Workshop on Scene Understanding (CVPR - WS)},
        title = {Efficient Convolutional Patch Networks for Scene Understanding},
        year = {2015}, }
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