Mine 4.0-mineCareerDB: A high-resolution image dataset for mining career segmentation and object detection

The article presents Mine 4.0-MineCareerDB, a publicly available dataset of high-resolution image captured by a DJI Phantom 4 RTK drone specifically designed for analyzing mining careers. The dataset comprises a collection of 373 images depicting various mining operations and activities. Each image is georeferenced and offers a detailed view of mining activities, including the use of various equipment, infrastructure, and overall mining environment. This dataset has the potential to be a valuable resource for computer vision applications in the mining industry such as developing algorithms for identifying mining equipment, training deep learning models for safety analysis and optimization, and research on automation in mining operations. By making Mine4.0-MineCareerDB publicly available, we aim to stimulate further advancements in computer vision research and its applications in the mining sector. The dataset is available at: https://data.mendeley.com/datasets/c5s76mj4bm/5.

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Publication Details

Journal
Data in Brief
Published
2024-10-02
DOI
https://doi.org/10.1016/j.dib.2024.110976
Citations
2
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
0.50
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article

Mine 4.0-mineCareerDB: A high-resolution image dataset for mining career segmentation and object detection

Lhoussaine Masmoudi, Mounia Zaim, Nasreddine Haqiq, Khalid El Amraoui et al.
2 citations
Data in Brief
Advanced Neural Network Applications
0.50
article

Mine 4.0-mineCareerDB: A high-resolution image dataset for mining career segmentation and object detection

Lhoussaine Masmoudi, Mounia Zaim, Nasreddine Haqiq, Khalid El Amraoui, Mohamed Sbihi, Mustapha El Alaoui, Hamza Echarrafi
article en
2 citations

Abstract

The article presents Mine 4.0-MineCareerDB, a publicly available dataset of high-resolution image captured by a DJI Phantom 4 RTK drone specifically designed for analyzing mining careers. The dataset comprises a collection of 373 images depicting various mining operations and activities. Each image is georeferenced and offers a detailed view of mining activities, including the use of various equipment, infrastructure, and overall mining environment. This dataset has the potential to be a valuable resource for computer vision applications in the mining industry such as developing algorithms for identifying mining equipment, training deep learning models for safety analysis and optimization, and research on automation in mining operations. By making Mine4.0-MineCareerDB publicly available, we aim to stimulate further advancements in computer vision research and its applications in the mining sector. The dataset is available at: https://data.mendeley.com/datasets/c5s76mj4bm/5.

Data in BriefVol. 57
Mohammed V University (MA), Université Ibn-Tofail (MA)
Decent work and economic growth
Openalex Percentile: Top 35%
Advanced Neural Network Applications
0.50
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