Subway Guide Sign Classification Dataset
#image classification #object recognition #subway systems #intelligent transportation #navigation assistance
- Records
- 15000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current transportation industry faces challenges such as sign diversity and environmental complexity in the classification and recognition of subway guide signs. Existing solutions often rely on manual labeling, which is inefficient and prone to errors. This dataset aims to provide a high-quality, rich image library of subway guide signs to support the research and development of automated recognition technologies. Data collection was conducted using professional cameras in actual subway environments to ensure diversity in real scenes. To ensure data quality, multiple rounds of labeling and consistency checks were implemented, and all data were reviewed by experts. Data is stored in JPG format and organized by category. The core advantage of this dataset is its high labeling accuracy and consistency, with labeling accuracy exceeding 95%. In addition, advanced image enhancement techniques have been used to improve the model's generalization ability, with an expected improvement of at least 20% in guide sign recognition performance metrics.
Overview
Dataset Insights
Preview
Sample Examples
a06c58cb**.jpg|1920*2560|898.85 KB
8933e71c**.jpg|1536*2048|880.53 KB
820914e0**.jpg|3072*4096|636.31 KB
0f63a06a**.jpg|3024*4032|1.32 MB
611d7844**.jpg|1616*1080|168.74 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| label | string | The classification label of the sign symbol. |
| color_scheme | string | The predominant color in the sign depicted in the image. |
| text_content | string | The textual content displayed on the sign. |
| symbol_shape | string | The shape of the symbol present on the sign. |
| language | string | The language of the text on the sign. |
| direction_arrow | boolean | Indicates whether the sign contains a directional arrow. |
| iconography | string | The type of icons depicted on the sign. |
| visibility_level | string | The visibility level of the sign in the image. |
| sign_size | string | The relative size of the sign depicted in the image. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What is the Subway Guide Sign Classification Dataset?
- The Subway Guide Sign Classification Dataset is a high-quality image dataset specifically designed for classifying subway guide signs.
- What data modality does the Subway Guide Sign Classification Dataset include?
- The dataset includes the image data modality.
- What are the application scenarios for the Subway Guide Sign Classification Dataset?
- This dataset can be used for developing subway station guidance systems, passenger information recognition, and automated guide sign classification.
- How is the quality of the Subway Guide Sign Classification Dataset assessed?
- The dataset is considered high-quality and suitable for research and application model training that requires precise classification.
- In which industry is the Subway Guide Sign Classification Dataset most applied?
- The dataset is primarily applied in the transportation industry, especially in public transit systems.
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Cite this Work
@dataset{Mobiusi2025,
title={Subway Guide Sign Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/4214ebb7e400f95f970165f968858907?dataset_scene_id=1},
urldate={2025-09-15},
keywords={subway guide signs, image classification dataset, transportation dataset, intelligent transportation systems, object recognition},
version={1.0}
}Using this in research? Please cite us.
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