Open-Pit Mine Object Detection Dataset
- Records
- 4617
- Size
- 1.06GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset is designed for object detection research in open-pit mining environments and includes mine images with paths to their corresponding annotation files. Each record provides an image ID, image path, dimensions, and image format to help organize images and link them to annotations. It can support mine-site operations monitoring, equipment and vehicle recognition, safety inspections, and related computer vision development; refer to the dataset details for the exact sample count, object classes, and annotation specifications.
Overview
Dataset Insights
Preview
Sample Examples
3bc1c0e1**.jpg||0 B
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | Unique identifier for the image record. |
| image_path | string | Path to the image file. |
| label_path | string | Path to the annotation file associated with the image. |
| image_width | number | Width of the image in pixels. |
| image_format | string | File format of the image. |
| image_height | number | Height of the image in pixels. |
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 does the dataset include?
- Records include an image ID, image path, annotation file path, image width, image height, and image format. The dataset is intended for object detection applications in open-pit mining environments.
- Which object classes are annotated?
- The available information does not specify the object classes or annotation conventions. Review the annotation files and accompanying documentation after obtaining the dataset to confirm the class definitions and annotation content.
- Are the dataset size and image formats specified?
- The listed fields include image format and dimensions, but no sample count or specific format list is provided. Refer to the dataset listing or accompanying documentation for the available details.
- How can I access the dataset, and what are the license terms?
- Access instructions and license terms are not included in the available information. Check the dataset listing or contact the provider to confirm the download process, permitted uses, and commercial-use conditions.
- What applications is the dataset suitable for?
- It can support training and evaluation of object detection models for open-pit mining environments, as well as visual applications such as mine equipment and vehicle recognition, work zone monitoring, and safety inspections.
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Cite this Work
@dataset{Mobiusi2026,
title={Open-Pit Mine Object Detection Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/1f8386b0405414a94fc4afc83155ad93?dataset_scene_cate_type=7},
urldate={2026-11-03},
keywords={open-pit mine dataset,mine object detection,mining image dataset,mine visual recognition,mining equipment detection,mine vehicle recognition,mine safety monitoring,object detection training data},
version={1.0}
}Using this in research? Please cite us.