datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gtsrb
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… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/gtsrb.GTSRB
Dataset Card for GTSRB
Dataset Summary
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. Our benchmark has the following properties:
Single-image, multi-class classification problem
More than 40… See the full description on the dataset page: https://huggingface.co/datasets/bazyl/GTSRB.GTSRB
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
This is a Huggingface dataset formatted GTSRB dataset. All credits are given to the original authors as per the BibTex below as please cite the original authors if used this dataset.
Link to original GTSRB website: https://benchmark.ini.rub.de/
Link to the dataset downloaded:… See the full description on the dataset page: https://huggingface.co/datasets/ilee0022/GTSRB.GTSRBwds_gtsrbgtsrbSynset-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.wds_gtsrbGTSRBGTSRB
Dataset Card for GTSRB
Dataset Summary
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. Our benchmark has the following properties:
Single-image, multi-class classification problem
More than… See the full description on the dataset page: https://huggingface.co/datasets/zjl123321/GTSRB.GTSRB_224x224_balanced
Balanced GTSRB (224x224)
This is a balanced GTSRB dataset containing 43 classes, with 1,000 training samples per class and the same number of test samples as in the original dataset.All images have been resized to 224×224 using interpolation and padding, maintaining aspect ratio.
For classes with fewer than 1,000 training samples, data augmentation was used to supplement the dataset (Note: without any flip transforms, thanks to this post).
For details on how the dataset was… See the full description on the dataset page: https://huggingface.co/datasets/SomeBottle/GTSRB_224x224_balanced.gtsrbandlisaroadsignedcombinedmissingwds_gtsrb_test
GTSRB (Test set only)
Original paper: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Homepage: https://benchmark.ini.rub.de/gtsrb_news.html
Bibtex:
@article{Stallkamp2012,
title = "Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition",
journal = "Neural Networks",
volume = "",
number = "0",
pages = " - ",
year = "2012",
note = "",
issn = "0893-6080",
doi = "10.1016/j.neunet.2012.02.016",
url =… See the full description on the dataset page: https://huggingface.co/datasets/djghosh/wds_gtsrb_test.gtsrb-cleanedpranavx-gtsrb-reliability
GTSRB for PranavX AI Reliability Experiments
This repository repackages the German Traffic Sign Recognition Benchmark (GTSRB) for a traffic-sign classification reliability experiment. It preserves the original PPM image bytes and GTSRB class IDs in Parquet. No image is resized, cropped further, enhanced, or synthetically corrupted here. This is a project-specific derivative split, not a new official GTSRB release or an official benchmark leaderboard split.
The uploader reports… See the full description on the dataset page: https://huggingface.co/datasets/Yuvrajg2107/pranavx-gtsrb-reliability.wds_gtsrbViT-GTSRBgtsrb-upsampled