GTSRB-HueHist
OpenML dataset with id 41990
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Full work available at URL: https://api.openml.org/data/v1/download/21389569/GTSRB-HueHist.arff
Upload date: 24 July 2019
Dataset Characteristics
Number of classes: 43
Number of features: 257 (numeric: 256, 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.
\# Hue Histograms
For each image in the training set, the file contains a 256-bin histogram of hue values (HSV color space).
This page was built for dataset: GTSRB-HueHist
