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 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.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.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… See the full description on the dataset page: https://huggingface.co/datasets/zjl123321/GTSRB.pranavx-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.