added material

2026-07-26 22:53:03 -04:00
commit 95b1c6bf27
369 changed files with 3468754 additions and 0 deletions
@@ -0,0 +1,75 @@
+**********************************************
+The German Traffic Sign Recognition Benchmark
+**********************************************
+
+This archive contains the test set of the 
+"German Traffic Sign Recognition Benchmark". 
+
+This is the official test set that is used during the final 
+competition session at IJCNN 2011. After the conference, 
+it will be published on our website. 
+
+If you want to publish results based on GTSRB, 
+this data set is to be used for final testing purposes
+only. Please use the GTSRB (final) training set for training
+(It is the joint dataset of the online competition's 
+training and test set).
+
+
+**********************************************
+Archive content
+**********************************************
+This archive contains the following structure:
+
+There is one directory that contains all test images (12,630 images) 
+and one text file with annotations (GT-final_test.test.csv)
+
+
+**********************************************
+Image format and naming
+**********************************************
+The images are PPM images (RGB color). Files are numbered in ascending order:
+
+   00000.ppm to 12629.ppm
+
+Images are in random order, ie. there is no track structure or class information
+as in the training set.
+
+**********************************************
+Annotation format
+**********************************************
+
+The annotations are stored in CSV format (field separator
+is ";" (semicolon) ). The annotations contain meta information 
+about the image and the class id.
+
+
+In detail, the annotations provide the following fields:
+
+Filename        - Image file the following information applies to
+Width, Height   - Dimensions of the image
+Roi.x1,Roi.y1,
+Roi.x2,Roi.y2   - Location of the sign within the image
+		  (Images contain a border around the actual sign
+                  of 10 percent of the sign size, at least 5 pixel)
+
+**********************************************
+Further information
+**********************************************
+For more information on the competition procedures and to obtain the test set, 
+please visit the competition website at
+
+	http://benchmark.ini.rub.de
+
+If you have any questions, do not hesitate to contact us 
+    
+	tsr-benchmark@ini.rub.de
+
+
+**********************************************
+Institut für Neuroinformatik
+Real-time computer vision research group
+
+Ruhr-Universität Bochum
+Germany
+**********************************************