The German Traffic Sign Detection Benchmark
The German Traffic Sign Detection Benchmark is a single-image detection assessment for researchers with interest in the field of computer vision, pattern recognition and image-based driver assistance. It is introduced on the IEEE International Joint Conference on Neural Networks 2013. It features ...
- a single-image detection problem
- 900 images (devided in 600 training images and 300 evaluation images)
- division into three categories that suit the properties of various detection approaches with different properties
- an online evaluation system with immediate analysis and ranking of the submitted results
Downloads
The GTSDB dataset is available via this link.
Image format
- The images contain zero to six traffic signs. However, even if there is a traffic sign located in the image it may not belong to the competition relevant categories (prohibitive, danger, mandatory).
- Images are stored in PPM format
- The sizes of the traffic signs in the images vary from 16x16 to 128x128
- Traffic signs may appear in every perspective and under every lighting condition
Annotation format
Annotations are provided in CSV files. Fields are seperated by a semicolon (;). They contain the following information:
- Filename: Filename of the image the annotations apply for
- Traffic sign's region of interest (ROI) in the image
- leftmost image column of the ROI
- upmost image row of the ROI
- rightmost image column of the ROI
- downmost image row of the ROI
- ID providing the traffic sign's class
You can download source code that will help you to read and compare the annotation files with your detector's results. For an explanation of the class IDs we refer to the ReadMe.txt in the download package.
- C++ Code package
- Matlab Code package (updated 01/19/2013)
