datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
traffic-sign-bench
Traffic Sign Bench
Official per-sign SUMO maps for TrafficRuleBench: real Moscow OSM
layouts, 25 signs, 2500 maps. Protocol size is
80 train + 20 test maps per sign.
Road geometry is derived from OpenStreetMap
© OpenStreetMap contributors and is released under ODbL 1.0.
Download
All scenes land under data/scenes/<sign>/<scene_id>/, which is what eval
expects:
huggingface-cli download emb-ai/traffic-sign-bench \
--repo-type dataset \… See the full description on the dataset page: https://huggingface.co/datasets/emb-ai/traffic-sign-bench.Traffic-sign-detection-VietNam
Vietnam Traffic Sign Detection Dataset
This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model.
📂 Repository Structure
The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets.
├── classid.xlsx # Excel file mapping class IDs to names
├── dataset/
│ ├── train/ #… See the full description on the dataset page: https://huggingface.co/datasets/star092304/Traffic-sign-detection-VietNam.Traffic-sign-detection-VietNam
Vietnam Traffic Sign Detection Dataset
This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model.
📂 Repository Structure
The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets.
├── classid.xlsx # Excel file mapping class IDs to names
├── dataset/
│ ├── train/ #… See the full description on the dataset page: https://huggingface.co/datasets/Minh124689/Traffic-sign-detection-VietNam.mapillary_traffic_signs
📄 Paper
If you use this dataset, please cite the following paper:
MAPILLARY VISTAS VALIDATION FOR FINE-GRAINED TRAFFIC SIGNS: A Benchmark Revealing Vision-Language Model LimitationsSubmitted to ICCV Workshop 2025
📄 Citation
@article{garg2025mapillary,
title={Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations},
author={Garg, Sparsh and Aich, Abhishek},
journal={arXiv preprint arXiv:2508.02047}… See the full description on the dataset page: https://huggingface.co/datasets/sparshgarg57/mapillary_traffic_signs.nigerian_transport_and_logistics_traffic_signal_timing
Nigeria Transport & Logistics – Traffic Signal Timing | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_transport_and_logistics_traffic_signal_timing.vicroads-traffic-signals
Data Description
The project uses SCATS (Sydney Coordinated Adaptive Traffic System) traffic flow data from 2014 to 2024 SCAT. The data includes:
Traffic volume counts at 15-minute intervals
Multiple detector sites across road networks
Additional contextual data like public holidays, school locations, traffic lights etc.
The raw data is preprocessed and transformed into a format suitable for time series prediction models.
GitHub: PinkBro
File and versions:… See the full description on the dataset page: https://huggingface.co/datasets/PinkBro/vicroads-traffic-signals.