Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 24, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

CMDPC_OBB: A Large-Scale Image Dataset for Coal Mine Drill Pipe Counting based on Oriented Bounding Box.

Fukai Zhang¹, Xiaoran Liu², Haiyan Zhang²

¹School of Software, Henan Polytechnic University, Jiaozuo, 454000, China. zhangfukai@hpu.edu.cn.

Scientific Data

|May 22, 2026

Summary

Related Concept Videos

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation.

Sensors (Basel, Switzerland)·2019

Same author

Repetitive Transcranial Magnetic Stimulation Ameliorates Cognitive Impairment by Enhancing Neurogenesis and Suppressing Apoptosis in the Hippocampus in Rats with Ischemic Stroke.

Frontiers in physiology·2017

Same author

GSK-3Beta-Dependent Activation of GEF-H1/ROCK Signaling Promotes LPS-Induced Lung Vascular Endothelial Barrier Dysfunction and Acute Lung Injury.

Frontiers in cellular and infection microbiology·2017

Same author

Decreased high density lipoprotein cholesterol is an independent predictor for persistent organ failure, pancreatic necrosis and mortality in acute pancreatitis.

Scientific reports·2017

Same author

Pancreatic neuroendocrine neoplasms: Correlation between MR features and pathological tumor grades.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2017

Same author

Two new monoterpenoid indole alkaloids from Alstonia rostrata.

Natural product research·2017

This study introduces a new dataset for counting coal mine drill pipes, improving accuracy in complex underground settings. The CMDPC_OBB dataset enhances drill pipe detection and counting with diverse views and orientations.

Area of Science:

Mining Engineering
Computer Vision
Data Science

Background:

Limited availability of public datasets for underground coal mine monitoring hinders accurate drill pipe recognition.
Complex drilling environments present significant challenges for object detection and counting tasks.

Purpose of the Study:

To construct a large-scale, publicly available image dataset (CMDPC_OBB) for coal mine drill pipe counting.
To address the scarcity of data and improve recognition accuracy in challenging underground mining conditions.
To facilitate multi-pose and multi-view drill pipe detection and counting.

Main Methods:

Developed the CMDPC_OBB dataset comprising two sub-datasets: MOD_2D (114,869 images with oriented bounding boxes) and SOC_3D (4,023 images with 3D reconstruction for enhanced multi-view representation).

Related Experiment Videos

Last Updated: May 24, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Employed a 15-frame interval sampling strategy for MOD_2D and single-image 3D reconstruction for SOC_3D.

Evaluated nine object detection and oriented detection models on the CMDPC_OBB dataset.

Main Results:

The CMDPC_OBB dataset provides extensive data coverage for complex underground mining scenarios.
The highest mean Average Precision (mAP) achieved was 89.1% on the CMDPC_OBB dataset.
The dataset demonstrates significant effectiveness and benchmarking value for drill pipe detection and counting.

Conclusions:

The CMDPC_OBB dataset effectively addresses the need for robust data in underground coal mine monitoring.
The developed dataset and evaluation results pave the way for improved automated drill pipe counting systems.
This resource is crucial for advancing research and development in mining safety and operational efficiency.