Langhui

Industrial Park / Campus / Factory / Historic Building / City High-Precision Dataset

Fine-Grained Semantically Annotated Images Across Multiple Scenarios | Digital Twin / Intelligent Inspection | Scene Semantic Segmentation

Type 5 scenes
Coverage
Semantic Tags
Self-Owned
Data Source
Digital twin.
Cleaned
Data Status

Dataset Overview

Industrial Park / Campus / Factory / Historic Building / City High-Precision DatasetYes.Changsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform operates. High-precision images of five types of scenes, including parks, campuses, factories, ancient buildings, cities, etc., are covered, and are used in fine semantics to provide syllable partition of the scene, feature classification, intelligent inspection and digital twinning training.

Dataset NameIndustrial Park / Campus / Factory / Historic Building / City High-Precision Dataset
Data TypeImage (detailed synonyms)
ScenesCoverageParks, campuses, factories, ancient buildings, cities
Data sizeContained in the overall photo modelling data set
Data StatusFully Cleaned

Core Data Fields

Each piece of data contains complete structured fields that cover everything from raw data to annotated information.

Field CategoryField CountTypical Fields
Imagedata6High-resolution scene images, shoot perspectives, resolution, scene type labels
Semantic Description10Pixel semantic split labels, case splits, feature categories (construction/roads/vegetation/water bodies/facilities, etc.)
ScenesMetadata8Name of scene, geographical location, area, functional partition, climatic conditions
Annotation Standards4State of verification of standard, personnel information, quality

Data Sample Showcase

The following is a structured JSON sample showing typical data formats.

Other Organiser
"sense id": "SEM-2024-000123",
"scene type": "industrial park", "area m2": 350000,
"images":
"semantic classess": ["Building," "Road", "Green", "Car lot", "Pippin", "Fireway", "Buildway", "Buildboard", "Identifier", "Lamplight,"]
"Quality":
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AI Application Scenarios

Semantically Splits the scene

Fine semantics are used to indicate semantic partition models for highly precise scenes.

Smart Patrol AI

Multi-scenes tags data training smart-checking and abnormality detection AI.

Digital twin base.

The scene indicates the floor of the feature classification of the digital twin platform for the construction of the data.

Security surveillance intelligence analysis.

Park/workshop scene training security surveillance AI.

Smart campus management

Schoolscape data training smart campus management AI.

Monitoring of the protection of cultural objects

The ancient building label data trains AI in monitoring the status of cultural objects.

Frequently asked questions

How precise is the semantic label?
The pixel-level semantic separation of the labels, with an accuracy rate of over 97 per cent, ensured by a double-checking process.
How are the data levels distributed across the scenes?
Landmark and urban landscape data are high, and ancient buildings and plant sites are less available because of their scarcity, but are better marked.
How to Get a Data Sample?
Please contactChangsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform.

Domain expert network

5000+
Certified Research Experts

Covering six major disciplines: mathematics, physics, chemistry, biology, earth sciences, and computer science

Fourfold
Quality Review System

Academic credential review, professional competency assessment, data annotation training, and continuous quality monitoring

AI+
Human-Machine Collaborative Annotation

AI pre-annotation + expert review, 300% efficiency improvement, 99.5% accuracy

Build your digital twin world?

Langhui Technology has the nation's leading real-world 3D data acquisition capabilities. All data has been cleaned and quality inspected and can be used directly for AI model training.

Data sample preview · Customized acquisition plan · Professional technical support