Mobiusi/Tunnel-Traffic-Control-Sign-Recognition-Dataset

Tunnel Traffic Control Sign Recognition Dataset

With the rapid development of urban traffic, the technology for automatic recognition of traffic control signs faces severe challenges, especially in complex tunnel environments where recognition rates are often affected by factors such as lighting and occlusion. Existing solutions rely mostly on manual recognition, which is inefficient and prone to errors. Therefore, establishing a high-quality tunnel traffic control sign recognition dataset will effectively enhance the application of target detection algorithms in this field. The dataset includes several types of traffic control signs, aiming to address the low recognition accuracy of existing technology in complex environments. Data collection is conducted using high-resolution cameras in actual tunnels, ensuring the authenticity and diversity of images. Meanwhile, data annotation follows a strict quality control process, including multiple rounds of annotation and expert review, to ensure consistency and accuracy of annotations. Data is stored in JPEG format, organized by category and time for easy retrieval and use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
sign_type	string	The specific type of traffic control sign, such as speed limit signs or no-entry signs.
sign_color	string	The primary color of the sign, such as red, blue, or green.
sign_shape	string	The geometric shape of the sign, like circular, triangular, or rectangular.
sign_text	string	The textual content displayed on the sign.
sign_position	string	The description of the sign's location in the image, such as central position or corner coordinates.
background_complexity	string	The complexity level of the image background, such as simple, moderate, or complex.
illumination_conditions	string	The lighting conditions during the capture, such as well-lit, under-lit, or nighttime conditions.
weather_conditions	string	The weather conditions at the time of image capture, such as sunny, rainy, or foggy.
visibility_level	string	The visibility level of the sign in the image, such as clear, blurred, or unclear.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com