Dataset Card for German Traffic Sign Recognition Benchmark This dataset contains images of 43 classes of traffic signs. It is intended for developing and benchmarking traffic sign recognition systems. Dataset Details Dataset Description The German Traffic Sign Recognition Benchmark (GTSRB) is a multi class classification dataset featuring 43 classes of traffic signs. The images were cropped from a larger set of images to focus on the traffic sign and eliminate background. Multiple data augmentations such as Gaussian noise, motion blur, contrast changes, etc. are provided as additional test sets to benchmark model robustness. Dataset Sources Paper with code Uses Direct Use Dataset Structure The dataset is provided in 9 splits, including training data and clean test data: train: 26,640 images test: 12,630 images and 7 kinds of corrupted test datasets to evaluate the robustness: contrast: 12,630 contrast adjusted test images gaussian noise: 12,630 Gaussian noise augmented test images impulse noise: 12,630 impulse noise augmented test images jpeg compression: 12,630 JPEG compressed test images motion blur: 12,630 motion blurred test images pixelate: 12,630 pixelated test images spatter…
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