datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SynsetSignsetSensitivityAnalysisDataset
Synset Signset Sensitivity Analysis Dataset
The Synset Signset Sensitivity Analysis Dataset is a large-scale, physically based synthetic test
dataset for evaluating the sensitivity and robustness of machine-learning traffic sign recognition models to
sensing parameters. It contains 9,442,800 images from 43
GTSRB traffic sign classes, systematically generated
across 2,196 combinations of motion blur and additive image noise. The dataset also includes traffic sign
masks… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/SynsetSignsetSensitivityAnalysisDataset.Synset-Signset-Germany-GTSRB-Subset
Synset Signset Germany - GTSRB Subset
The GTSRB subset of the Synset Signset Germany dataset addresses the task of traffic sign recognition in Germany. It contains the same 43 traffic
sign classes as the well-known GTSRB dataset and thus represents its “synthetic twin”. For each class, the dataset
contains 500 images, accumulating to 21,500 independent images in total.
Website: synset.de/datasets/synset-signset-ger/
Paper: Sielemann, A., Loercher, L., Schumacher, M. L., Wolf, S.… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Signset-Germany-GTSRB-Subset.Synset-Signset-Germany
Synset Signset Germany
The Synset Signset Germany dataset addresses the task of traffic sign recognition in Germany. It contains a total of 105,500 images of 211 different
German traffic sign classes, including newly published (2020) and thus comparatively rare traffic signs. The subset of the first 43 classes in the dataset aims to represent
a “synthetic twin” of the well-known GTSRB dataset.
Website: synset.de/datasets/synset-signset-ger/
Paper: Sielemann, A., Loercher, L.… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Signset-Germany.Synset-Boulevard
Synset Boulevard
The Synset Boulevard dataset is a synthetic dataset for the task of surveillance-nature vehicle make and model recognition (VMMR),
generated using path tracing and physically-based, data-driven models, and contains 259,200 images with 162 different
vehicle models of 43 makes depicted in front view.
Website: synset.de/datasets/synset-blvd/
Paper: Sielemann, A., Wolf, S., Roschani, M., Ziehn, J. and Beyerer, J. (2024). Synset Boulevard: A Synthetic Image Dataset… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Boulevard.Synset-Background-Effect-Datasets
Synset Background Effect Datasets
For investigating the effect of background on feature importance and classification performance, we systematically generated six synthetic datasets for the
task of traffic sign recognition, which differ only in their degree of camera variation and background correlation. Each of these datasets contains 82 classes
of traffic signs with 1,100 images per class, resulting in 90,200 images per dataset, summing up to a total of 541,200 images.… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Background-Effect-Datasets.