Open-pit Mine Boundary Detection Image Dataset
#Object detection #boundary recognition #image classification #Open-pit mine management #mining development #geographic information system
- 500 records
- 1.3G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The open-pit mine boundary detection image dataset features significant data quality characteristics with a labeling accuracy rate of over 95%, maintaining consistency and completeness. Technical innovations include new image enhancement methods and an intelligent quality assessment system to improve the model's training effectiveness. In terms of application value, this dataset effectively addresses the issue of low precision in mine boundary identification, increasing the model's recognition efficiency by 30%. Compared to other datasets, its data collection covers a broader range, and its rarity is reflected in the diversity of samples under different terrains and climatic conditions. In terms of scalability, this dataset can be used for various mine management applications, offering good versatility to meet the needs of multiple object detection tasks.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| mine_boundary_presence | boolean | This field indicates whether a mine boundary is present in the image. |
| boundary_coordinates | array | Coordinates of the mine boundary, represented as a polygon for precise boundary location annotation. |
| boundary_confidence | float | The confidence level of the detected mine boundary, ranging from 0 to 1. |
| vegetation_presence | boolean | This field indicates whether vegetation is present in the image. |
| environmental_condition | string | Describes the environmental conditions at the time of image capture, such as sunny or cloudy. |
| image_quality | string | Quality assessment of the image, such as blurred or clear. |
| equipment_type | string | Type of equipment used to capture the image. |
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 Open-Pit Mine Boundary Detection Image Dataset?
- The Open-Pit Mine Boundary Detection Image Dataset is used to improve the accuracy and efficiency of mine boundary recognition and is a target detection dataset in the energy resource sector.
- What application scenarios is this dataset suitable for?
- The Open-Pit Mine Boundary Detection Image Dataset is suitable for any application scenario that requires accurate identification and monitoring of open-pit mine boundaries, such as mine planning and environmental monitoring.
- What problems can be solved using this dataset?
- Using the Open-Pit Mine Boundary Detection Image Dataset can solve accuracy and efficiency challenges faced when recognizing mine boundaries in the energy resource sector.
- How does this dataset differ from other types of object detection datasets?
- The Open-Pit Mine Boundary Detection Image Dataset focuses on mine boundary recognition in the energy resource sector, which sets it apart from other general object detection datasets.
- How can the performance of boundary detection models using this dataset be evaluated?
- Performance can be evaluated by comparing the overlap between model-detected mine boundaries and actual boundaries, as well as detection efficiency.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Open-pit Mine Boundary Detection Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/c572e84d96d65e4f2793e5495f98c0c7?dataset_scene_id=12},
urldate={2026-02-04},
keywords={open-pit mine boundary detection, mine management dataset, object detection dataset},
version={1.0}
}Using this in research? Please cite us.
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