Results 91 to 100 of about 15,951 (227)

The model weights file of YOLOv8-Coal

<p>Model weights file for YOLOv8-Coal that can be used with the code for YOLOv8-Coal.</p> <p>Code for YOLOv8-Coal: <a href="https://doi.org/10.5281/zenodo.10702677">Wang, W. (2024). Jason-2k/YOLOv8-Coal: V 1.0 (release).
Wang, Wenyu
core   +1 more source

Underground helmet detection algorithm based on improved YOLOv8s

Meikuang Anquan
In the process of coal mine underground operation, the safety helmet is the most direct and effective protective measure, and it is an important measure to ensure the safety of miners.
Jiaru YANG, Yinan QIN, Tianxu LI, Han ZHUANG   +3 more
doaj   +1 more source

BerryBox: An affordable computer vision system for postharvest phenotyping of cranberry and other small fruits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart, Collins Wakholi, Devin A. Rippner, John H. Price, Kayla R. Altendorf, Garett C. Heineck, Juan Zalapa, Jenyne Loarca, Gina M. Sideli   +8 more
wiley   +1 more source

Research on mulberry leaf disease recognition method based on deep learning

Dianzi Jishu Yingyong
To improve the accuracy of mulberry leaf disease detection and enable convenient and rapid deployment of models on mobile devices, an improved version of the YOLOv8 model, named YOLOv8-Evo, is proposed to address issues such as small lesion spots and ...
Ye Hui, Xiang Donghui, Zeng Songwei
doaj   +1 more source

CFE-YOLOv8s: Improved YOLOv8s for Steel Surface Defect Detection

Electronics
Due to the low detection accuracy in steel surface defect detection and the constraints of limited hardware resources, we propose an improved model for steel surface defect detection, named CBiF-FC-EFC-YOLOv8s (CFE-YOLOv8s), including CBS-BiFormer (CBiF) modules, Faster-C2f (FC) modules, and EMA-Faster-C2f (EFC) modules.
Shuxin Yang, Yang Xie, Jianqing Wu, Weidong Huang, Hongsheng Yan, Jingyong Wang, Bi Wang, Xiangchun Yu, Qiang Wu, Fei Xie   +9 more
openaire   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 3565-3583, October 2026.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, Volume 49, Issue 10, Page 7714-7726, October 2026.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Human‐in‐the‐loop eider duck counting in Arctic Canada with an open‐vocabulary multispecies wildlife detector

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract Accurate monitoring of eider duck populations in Arctic Canada is essential for understanding ecosystem health and supporting conservation efforts in a rapidly changing climate. Traditional manual counting from aerial imagery is time‐consuming, labor‐intensive, and prone to observer bias.
Jayden Hsiao, Aryan Kalia, Zhonghao Zhang, Hudson Sun, Muhammed Patel, David A. Clausi, Lincoln Linlin Xu, Becky Segal, Joel Heath   +8 more
wiley   +1 more source

Lightweight coal particle group instance segmentation method based on YOLOv8

Meitan xuebao
In the foundational research field of mine gas control, a large quantity of coal particles is widely employed in various experiments. Due to the significant impact of particle size distribution on experimental results, the precise and rapid determination
Jingjing LIU, Fengqian SUN, Haoxiang ZHANG, He JIANG, Junhui CHEN, Qiqi KOU, Deqiang CHENG   +6 more
doaj   +1 more source

Basketball detection based on YOLOv8

PLOS One
Accurate and timely detection of basketballs is crucial for ensuring fairness in games, enhancing the precision of data analysis, optimizing tactical planning for coaches, and improving the spectator experience. However, current basketball detection technologies face challenges such as variations in target scale, scene complexity, and changing camera ...
Zeyu Liang, Jiuyuan Wang, Tianhao Huang, Zilong Sang, Jia Zhang   +4 more
openaire   +2 more sources