Road Speed Bump Damage Scene Image Dataset
#Object detection #image classification #Traffic monitoring #road safety #intelligent transportation
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current transportation industry faces traffic safety hazards caused by damaged speed bumps, which often lead to accidents and traffic congestion. Existing solutions mostly rely on manual inspection, which is inefficient and prone to errors. This dataset aims to improve the efficiency and accuracy of speed bump damage detection through image recognition technology. The dataset consists of images of damaged speed bumps in various environments, captured using high-resolution cameras under different lighting and weather conditions. During data collection, quality control measures such as multiple rounds of annotation and expert review were adopted to ensure the accuracy and consistency of the data, resulting in a well-annotated image dataset. Data is stored in JPG format with a clear structure, facilitating subsequent processing and analysis.
Dataset Insights
Sample Examples
e8eede10**.jpg|3072*4096|2.81 MB
62476da6**.jpg|3072*4096|3.29 MB
dd406f80**.jpg|4096*3072|2.67 MB
748b650e**.jpg|4096*3072|2.64 MB
4c6da6f8**.jpg|3072*4096|2.98 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| damage_type | string | The specific type of damage to the speed bump, such as cracks, depressions, etc. |
| damage_severity | string | The severity of the damage condition, such as minor, moderate, or severe. |
| surface_material | string | The type of material on the speed bump surface, such as asphalt or concrete. |
| lighting_conditions | string | The lighting conditions during the photo capture, such as daytime, nighttime, or cloudy. |
| weather_conditions | string | The weather conditions at the time of image capture, like sunny, rainy, etc. |
| road_type | string | The type of road where the speed bump is located, such as urban road or highway. |
| traffic_density | string | The traffic density on the road at the time of capture, such as high or low. |
| damage_location | string | The specific location of the damage on the speed bump, such as left, center, or right. |
| image_quality | string | The quality of the image, such as good, blurry, etc. |
| vegetation_cover | boolean | Whether there is vegetation cover around the speed bump. |
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 |
Frequently Asked Questions
- What is the Road Speed Bump Damage Scene Image Dataset?
- The Road Speed Bump Damage Scene Image Dataset is a collection of images used for detecting and analyzing the damage to road speed bumps, aiding in object detection research in the transportation sector.
- What fields of research is this dataset suitable for?
- This dataset is suitable for the transportation field, especially for research involving road infrastructure monitoring and maintenance.
- How can this dataset be used to detect damage to road speed bumps?
- Target detection algorithms such as YOLO and Faster R-CNN can be trained on this dataset to detect and identify damage to road speed bumps.
- What are the applications of image data in road traffic research?
- Applications of image data in traffic research include vehicle detection, road sign recognition, and infrastructure condition monitoring.
- How does this dataset help improve road safety?
- By detecting and identifying damage to speed bumps, timely repairs can be made, which helps improve road safety and prevent traffic accidents.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Road Speed Bump Damage Scene Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/80998136b59878e59c0e56f8a6614abe},
urldate={2025-09-15},
keywords={speed bump dataset, object detection, traffic safety, image recognition},
version={1.0}
}Using this in research? Please cite us.
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