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- gtsrb/GT-final_test.csv +0 -0
- gtsrb/GTSRB/Readme-Images-Final-test.txt +0 -75
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gtsrb/GT-final_test.csv
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gtsrb/GTSRB/Readme-Images-Final-test.txt
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**********************************************
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The German Traffic Sign Recognition Benchmark
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**********************************************
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This archive contains the test set of the
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"German Traffic Sign Recognition Benchmark".
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This is the official test set that is used during the final
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competition session at IJCNN 2011. After the conference,
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it will be published on our website.
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If you want to publish results based on GTSRB,
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this data set is to be used for final testing purposes
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only. Please use the GTSRB (final) training set for training
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(It is the joint dataset of the online competition's
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training and test set).
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**********************************************
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Archive content
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**********************************************
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This archive contains the following structure:
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There is one directory that contains all test images (12,630 images)
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and one text file with annotations (GT-final_test.test.csv)
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**********************************************
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Image format and naming
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**********************************************
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The images are PPM images (RGB color). Files are numbered in ascending order:
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00000.ppm to 12629.ppm
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Images are in random order, ie. there is no track structure or class information
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as in the training set.
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**********************************************
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Annotation format
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**********************************************
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The annotations are stored in CSV format (field separator
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is ";" (semicolon) ). The annotations contain meta information
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about the image and the class id.
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In detail, the annotations provide the following fields:
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Filename - Image file the following information applies to
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Width, Height - Dimensions of the image
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Roi.x1,Roi.y1,
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Roi.x2,Roi.y2 - Location of the sign within the image
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(Images contain a border around the actual sign
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of 10 percent of the sign size, at least 5 pixel)
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**********************************************
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Further information
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**********************************************
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For more information on the competition procedures and to obtain the test set,
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please visit the competition website at
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http://benchmark.ini.rub.de
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If you have any questions, do not hesitate to contact us
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tsr-benchmark@ini.rub.de
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**********************************************
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Institut f�r Neuroinformatik
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Real-time computer vision research group
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Ruhr-Universit�t Bochum
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Germany
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**********************************************
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