Ambulance Body Text and Signage OCR Recognition Dataset
#Object Detection #OCR Recognition #Medical Rescue #Emergency Response #Intelligent Recognition
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The current medical industry faces challenges in the slow recognition speed and insufficient accuracy of ambulance information, especially in emergencies where rapid access to body information is necessary. Existing OCR solutions perform poorly under complex backgrounds and different lighting conditions, often leading to misreading or missing information. This dataset aims to solve these technical issues by providing diverse ambulance body images and their corresponding signage and text to improve OCR system recognition performance.
Data collection was carried out using high-resolution cameras in various environments, including urban streets and around hospitals, to ensure image diversity. For quality control, we implemented multiple rounds of annotation and expert review to ensure data accuracy and consistency. Data is stored in JPEG format, accompanied by JSON files providing annotation information, facilitating subsequent processing and analysis.
Dataset Insights
Sample Examples
624be2b7**.jpg|1080*810|123.07 KB
98aa7db3**.jpg|1080*1347|210.99 KB
2265d018**.jpg|1080*1314|266.34 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| ambulance_sign | string | Signs and symbols on the ambulance body, such as the red cross. |
| language | string | The language used in the text on the body of the ambulance. |
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 |
Frequently Asked Questions
- What is the special purpose of this dataset?
- The Ambulance Body Text and Signage OCR Recognition Dataset focuses on enhancing the optical character recognition (OCR) technology for ambulance bodies and signage, improving the accuracy and efficiency of information processing.
- What machine learning tasks is this dataset suitable for?
- This dataset is suitable for object detection tasks, particularly in applications within the healthcare sector.
- How does this dataset benefit the healthcare sector?
- By improving the ability of OCR to recognize information on ambulance bodies, this dataset can speed up response times and increase the efficiency of information retrieval in medical emergencies.
- What are typical use cases for this dataset?
- Typical use cases include the development of mobile applications that can automatically recognize ambulance information, aiding hospitals and emergency personnel in quickly obtaining vehicle information.
- What are the challenges of using this type of dataset?
- One challenge is the complex and varied backgrounds; the body text may be partially obscured by obstacles, affecting recognition accuracy.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Ambulance Body Text and Signage OCR Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/839301d4c8a931934a1cbbe600693c8e?dataset_scene_id=4},
urldate={2025-10-23},
keywords={OCR Recognition Dataset, Ambulance Body Recognition, Medical Dataset, Object Detection},
version={1.0}
}Using this in research? Please cite us.
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