********************************************************
BelgiumTSC - The Belgium Traffic Sign Classification Benchmark
********************************************************
This archive contains the training set of the
"Belgium Traffic Sign Classification Benchmark".
This training set is a subset of the BelgiumTS - Belgium Traffic Signs database:
http://homes.esat.kuleuven.be/~rtimofte/
http://www.vision.ee.ethz.ch/~timofter/
and follows the structure used in GTSRB Challenge proposed for IJCNN 2011:
http://benchmark.ini.rub.de/
**********************************************
Archive content
**********************************************
This archive contains the following structure:
There is one directory for each of the 62 classes (00000 - 00061).
Each directory contains the corresponding training images and one
text file with annotations, eg. GT-00000.csv.
In total are 4591 images for training. On average for each physically distinct
traffic sign there are 3 images available.
**********************************************
Image format and naming
**********************************************
The images are PPM images (RGB color). Files are numbered in two parts:
XXXXX_YYYYY.ppm
The first part, XXXXX, represents the pole number from where is in the full
annotations of BelgiumTS database. All images of one class
with identical pole numbers originate from the same pole and more represent
one single physical traffic sign.
The second part, YYYYY, is a running number for the views where the traffic
sign is annotated. There is no temporal order
of the images, but they were where extracted in the order of the annotations on
the original pole from BelgiumTS.
**********************************************
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)
ClassId - The class of the traffic sign
**********************************************
How to cite?
**********************************************
@inproceedings{Timofte-BMVC-2011,
author = {Radu Timofte and Luc Van Gool},
title = {Sparse representation based projections},
booktitle = {British Machine Vision Conference},
year = {2011},
}
@article{Timofte-MVA-2011,
author = {Radu Timofte and Karel Zimmermann and Luc {Van Gool}},
title = {Multi-view Traffic Sign Detection, Recognition, and 3D Localisation},
journal = {Machine Vision and Applications},
year = {2011},
doi = {10.1007/s00138-011-0391-3},
}
**********************************************
Further information
**********************************************
For more information please visit the website at
http://homes.esat.kuleuven.be/~rtimofte/
http://www.vision.ee.ethz.ch/~timofter/
If you have any questions, do not hesitate to contact us
Radu.Timofte@esat.kuleuven.be
Radu.Timofte@vision.ee.ethz.ch
**********************************************
Centre for Processing Speech and Images (PSI/ESAT)
VISion in Industry, Communications, and Services (VISICS)
Katholieke Universiteit Leuven
Belgium
**********************************************
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比利时交通标志数据集
共2000个文件
ppm:7095个
csv:124个
txt:2个
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其中包括测试集和训练集,可以用来训练交通标志分类,可以与交通标志识别组合起来数据就可以实现完整的,交通标志识别任务
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比利时交通标志数据集 (2000个子文件)
GT-00032.csv 15KB
GT-00022.csv 14KB
GT-00032.csv 12KB
GT-00038.csv 10KB
GT-00061.csv 10KB
GT-00040.csv 9KB
GT-00019.csv 9KB
GT-00053.csv 8KB
GT-00038.csv 8KB
GT-00039.csv 7KB
GT-00017.csv 7KB
GT-00019.csv 6KB
GT-00035.csv 6KB
GT-00007.csv 6KB
GT-00041.csv 6KB
GT-00047.csv 5KB
GT-00028.csv 5KB
GT-00018.csv 4KB
GT-00054.csv 4KB
GT-00001.csv 4KB
GT-00056.csv 4KB
GT-00037.csv 4KB
GT-00061.csv 4KB
GT-00039.csv 4KB
GT-00013.csv 3KB
GT-00057.csv 3KB
GT-00031.csv 3KB
GT-00007.csv 3KB
GT-00045.csv 3KB
GT-00018.csv 3KB
GT-00017.csv 3KB
GT-00045.csv 3KB
GT-00031.csv 2KB
GT-00022.csv 2KB
GT-00035.csv 2KB
GT-00028.csv 2KB
GT-00044.csv 2KB
GT-00024.csv 2KB
GT-00040.csv 2KB
GT-00054.csv 2KB
GT-00034.csv 2KB
GT-00021.csv 2KB
GT-00020.csv 2KB
GT-00059.csv 2KB
GT-00021.csv 2KB
GT-00046.csv 2KB
GT-00025.csv 2KB
GT-00014.csv 2KB
GT-00057.csv 2KB
GT-00013.csv 1KB
GT-00030.csv 1KB
GT-00030.csv 1KB
GT-00042.csv 1KB
GT-00029.csv 1KB
GT-00056.csv 1KB
GT-00037.csv 1KB
GT-00047.csv 1KB
GT-00043.csv 1KB
GT-00052.csv 1KB
GT-00051.csv 1KB
GT-00010.csv 1KB
GT-00029.csv 1KB
GT-00008.csv 1KB
GT-00001.csv 1KB
GT-00053.csv 976B
GT-00010.csv 832B
GT-00012.csv 775B
GT-00006.csv 758B
GT-00036.csv 752B
GT-00009.csv 745B
GT-00027.csv 723B
GT-00059.csv 684B
GT-00014.csv 644B
GT-00055.csv 634B
GT-00000.csv 632B
GT-00050.csv 626B
GT-00058.csv 623B
GT-00023.csv 617B
GT-00023.csv 617B
GT-00004.csv 609B
GT-00003.csv 606B
GT-00002.csv 549B
GT-00024.csv 533B
GT-00049.csv 524B
GT-00033.csv 520B
GT-00008.csv 502B
GT-00016.csv 497B
GT-00055.csv 494B
GT-00004.csv 489B
GT-00060.csv 482B
GT-00048.csv 478B
GT-00041.csv 461B
GT-00005.csv 444B
GT-00015.csv 426B
GT-00060.csv 415B
GT-00016.csv 397B
GT-00058.csv 388B
GT-00034.csv 385B
GT-00027.csv 383B
GT-00042.csv 376B
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