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 INCMOBIUSI INC
Updated:2026-03-02

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

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/c572e84d96d65e4f2793e5495f98c0c7?dataset_scene_cate_type=7},
  urldate={},
  keywords={},
  version={}
}

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