Urban Street Construction Scene Image Dataset
#object detection #scene recognition #urban management #traffic monitoring #construction safety
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current transportation industry faces challenges such as difficult management of urban construction sites and worsening traffic congestion. Some existing solutions often lack object detection capabilities for specific scenarios, leading to frequent accidents and resource wastage. This dataset aims to provide high-quality construction scene images to help researchers and engineers develop more precise object detection models. Images of urban streets under construction are collected through cameras to ensure diversity under different weather and lighting conditions. For quality control, a multi-round annotation and expert review mechanism is applied to ensure consistency and accuracy of annotations. Data is stored in JPG format, classified in folders for quick access and analysis.
Dataset Insights
Sample Examples
5b2b559c**.jpg|1920*2560|1.24 MB
efcdcf0a**.jpg|1920*2560|1.35 MB
f229bcbf**.jpg|1920*2560|1.17 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| construction_sign_count | int | The number of construction signs in the image. |
| worker_count | int | The number of construction workers in the image. |
| vehicle_count | int | The number of vehicles in the image. |
| pedestrian_count | int | The number of pedestrians in the image. |
| machinery_count | int | The number of construction machines in the image. |
| lighting_condition | string | The lighting condition when the image was taken, such as daytime, night, or cloudy. |
| weather_condition | string | The weather condition when the image was taken, such as sunny, rainy, or snowy. |
| road_type | string | The type of road shown in the image, such as a main road or a secondary road. |
| construction_type | string | The type of construction being depicted in the image, such as road repair or pipeline installation. |
| safety_equipment_present | bool | Whether safety equipment such as cones or barriers are present in the image or not. |
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 main use of the urban street construction scene image dataset?
- This dataset is mainly used for studying and developing object detection techniques in the transportation sector to help identify and analyze objects in urban street construction scenes.
- Which research fields are suitable for applying this dataset?
- This dataset is suitable for research in fields such as transportation engineering, intelligent transportation systems, computer vision, and smart city development.
- What is the data modality of the urban street construction scene image dataset?
- The data modality of this dataset is images, mainly consisting of high-quality images of urban street construction scenes.
- What kinds of technical research can be conducted using this dataset?
- Researchers can use this dataset for technical research such as object detection, image recognition, and the development and evaluation of perception systems for autonomous vehicles.
- What advantages does this dataset offer in object detection research?
- This dataset offers high-quality construction scene images that can be used to train and evaluate object detection models, enhancing the accuracy of object recognition in complex traffic environments.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Urban Street Construction Scene Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/4f6f7b2e12f73c9bd13424024c1390d7?dataset_scene_id=1},
urldate={2025-09-15},
keywords={urban construction dataset, traffic object detection, construction scene recognition},
version={1.0}
}Using this in research? Please cite us.
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