Results 61 to 70 of about 14,166 (237)

Helmet detection using YOLOv5

, 2023
Helmet detection is an essential task in computer vision and artificial intelligence, aimed at automatically identifying and localizing helmets in images or videos.
Pralhad Gore, Vivekanand
core   +2 more sources

Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling

Journal of Social Computing
Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling options. In response to this critical challenge, this paper presents a novel approach utilizing a Detection-Based Reward System (DBRS) alongside an ...
Sirajam Munira, Niloy Paul, Md Ashraful Alam, Md. Mahmudur Rahman, M. Shamim Kaiser   +4 more
doaj   +1 more source

Application of Sensory Evaluation and Image Recognition in Freshness Evaluation of High Biogenic Amine Fish [PDF]

Progress in Fishery Sciences
Mesopelagic and epipelagic fish species are integral to marine biodiversity and represent important targets for China’s marine fisheries. These fish are known for their relatively low connective tissue content in the muscle, making them more prone to ...
Wang Ruixiang, Yan Pengjin, Wang Huan, Li Jiefeng, Du Jixiang, Quan Jianing, Liu Shufang, Zhuang Zhimeng   +7 more
doaj   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration

, 2021
This release implements two architecture changes to YOLOv5, as well as various bug fixes and performance improvements. Breaking Changes nn.SiLU() activations replace nn.LeakyReLU(0.1) and nn.Hardswish() activations used in previous versions.
Marc, Jake Poznanski, Jirka Borovec, Durgesh, Hu Ye, Junghoon Kim, lorenzomammana, AlexWang1900, ChristopherSTAN, Jacobsolawetz, Adam Hogan, Liu Changyu, Doug, Laurentiu Diaconu, Khiem Doan, yxNONG, wanghaoyang0106, Jiacong Fang, Glenn Jocher, ml5ah, Adrien Colmagro, Francisco Ingham, Alex Stoken, Lijun Yu 于力军, NanoCode012, Laughing, Frederik, tkianai, Guilhen, Ayush Chaurasia   +29 more
core   +1 more source

Mine remote sensing image denoising method based on improved YOLOv5

Gong-kuang zidonghua
The images of typical open-pit mining scenarios exhibit multi-type composite noise characteristics, with a low signal-to-noise ratio and significant spatial heterogeneity.
PEI Dan, FANG Kun, QING Yudong, CHEN Pei
doaj   +1 more source

YOLOv5-DCN: An Effective Improvement Based on YOLOv5 Detector

International Journal of Computer Science and Information Technology
Urine sediment detection is of great significance for the diagnosis and monitoring of kidney diseases, urinary tract infections, stones, etc. This study aims to propose fast, high-precision and lightweight Urinary particles detection model based on YOLOv5, deformable convolution, and evaluate its performance in Urinary particles detection tasks.
Xiaoxia Qi, Md Gapar Md Johar, Ali Khatibi, Jacquline Tham, Long Cheng   +4 more
openaire   +1 more source

Bioeconomy, sustainability, and digital technologies in Haematococcus lacustris biomass and astaxanthin production: advances and outlook

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Astaxanthin is a carotenoid with strong antioxidant properties, used in research on cancer treatment, ocular injuries, and neurological disorders. When produced by the microalgae Haematococcus lacustris, its antioxidant potential is even higher than that of the synthetic molecule, making it particularly attractive for pharmaceutical and ...
Renata Kühl Rocha, Lucas Nascimento Dario, Ana Caroline de Souza Barnabé, Paulo Sérgio de Arruda Ignácio, Reinaldo Gaspar Bastos, Augusto Ducati Luchessi   +5 more
wiley   +1 more source

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection [PDF]

, 2022
In this research, an integrated detection model, Swin-transformer-YOLOv5 or Swin-T-YOLOv5, was proposed for real-time wine grape bunch detection to inherit the advantages from both YOLOv5 and Swin-transformer.
Lu, Shenglian, Zhang, Xin, Liu, Xiaoyu, Zixuan He, Xiaoyu Liu, He, Zixaun, Shenglian Lu, Xin Zhang, Manoj Karkee, Karkee, Manoj, Wenbo Liu, Liu, Wenbo   +11 more
core   +1 more source