GTSRB-HOG01
OpenML dataset with id 41986
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/21388953/GTSRB-HOG01.arff
Upload date: 23 July 2019
Dataset Characteristics
Number of classes: 43
Number of features: 1,569 (numeric: 1,568, symbolic: 1 and in total binary: 0 )
Number of instances: 51,839
Number of instances with missing values: 0
Number of missing values: 0
The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge.
Pre-calculated features
To allow scientists without a background in image processing to participate, we several provide pre-calculated feature sets. Each feature set contains the same directory structure as the training image set. For details on the parameters of the feature algorithm, please have a look at the file Feature_description.txt which is part of each archive file.
\# HOG features
The file contains three sets of differently configured HOG features (Histograms of Oriented Gradients). The sets contain feature vectors of length 1568, 1568, and 2916 respectively. The features were calculated using the source code from http://pascal.inrialpes.fr/soft/olt/. For detailed information on HOG, we refer to
N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. IEEE Conference on Computer Vision and Pattern Recognition, pages 886-893, 2005
This page was built for dataset: GTSRB-HOG01
