Ambulance Road Usage Scene Classification Image Dataset
#image classification #deep learning #emergency rescue #traffic management #smart city
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current medical industry's recognition of ambulance road usage scenarios faces significant challenges, particularly in quickly identifying ambulances in complex traffic environments. Existing solutions often rely on manual annotation, which is inefficient and lacks accuracy. To address this issue, the dataset aims to provide high-quality image data to support the training of deep learning models, thereby enhancing the automatic recognition capability of ambulances in road scenes. The dataset contains diverse scene images collected from different environments such as urban roads and rural roads, captured with high-resolution professional equipment to ensure image clarity and detail retention. In terms of quality control, multiple rounds of annotation and consistency checks are employed to ensure data accuracy, and expert reviews are conducted to improve annotation reliability. The data is stored in JPG format and organized in an image folder structure for easy subsequent use and access.
Overview
Dataset Insights
Preview
Sample Examples
4ff8b7ec**.jpg|1080*1440|147.03 KB
99370166**.jpg|1080*666|126.81 KB
8b914fe2**.jpg|1080*1440|245.67 KB
83c000bb**.jpg|1080*1314|266.34 KB
fa0b9c62**.jpg|1080*1347|210.99 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| road_type | string | Type of road depicted in the image, such as highway, urban road, etc. |
| traffic_density | string | Traffic flow density shown in the image, such as high, medium, low. |
| vehicle_visibility | string | Degree of vehicle visibility in the image, such as clear, partially obstructed, fully obstructed. |
| emergency_vehicle_presence | boolean | Indicates whether an emergency vehicle is present in the image. |
| road_signs_present | boolean | Indicates whether road signs are present 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 Ambulance Road Use Scene Classification Image Dataset?
- This dataset is an image classification dataset focused on improving the recognition ability of ambulances in complex road scenes.
- Which industry fields is this dataset suitable for?
- This dataset is mainly suitable for the healthcare industry, especially applications related to emergency response and medical transportation.
- Why is it important to improve ambulance recognition in road scenes?
- Improving ambulance recognition can shorten emergency response times, enhance traffic efficiency, and improve the timeliness of patient assistance.
- What is an image classification dataset?
- An image classification dataset is a collection used to train models to recognize and classify different objects or scenes in images.
- What are the potential applications of using this dataset?
- This dataset can be used to train computer vision systems to better recognize and prioritize ambulances in intelligent traffic management systems.
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Cite this Work
@dataset{Mobiusi2025,
title={Ambulance Road Usage Scene Classification Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/aed38ce12199a1ee3230eb0ca6133f84?dataset_scene_id=4},
urldate={2025-10-23},
keywords={ambulance image dataset, medical image classification, intelligent transportation, deep learning dataset},
version={1.0}
}Using this in research? Please cite us.
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