Mine 4.0-mineCareerDB: A high-resolution image dataset for mining career segmentation and object detection
Nasreddine Haqiq, Mounia Zaim, Mohamed Sbihi, Khalid El Amraoui, Mustapha El Alaoui, Lhoussaine Masmoudi, Hamza Echarrafi · Data in Brief · 2024
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.