BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
Sensors, 2023 Road defect detection is a crucial task for promptly repairing road damage and ensuring road safety. Traditional manual detection methods are inefficient and costly. To overcome this issue, we propose an enhanced road defect detection algorithm called BL-YOLOv8, which is based on YOLOv8s.
Xueqiu Wang +3 more
openaire +3 more sources
Optimizing YOLOv8 for Real-Time CCTV Surveillance: A Trade-off Between Speed and Accuracy
JOIN: Jurnal Online Informatika, 2023 Real-time video surveillance, especially CCTV systems, requires fast and accurate face detection. Object detection models with slow inference times are ineffective in real-time.
Muhammad Rizqi Sholahuddin +6 more
doaj +1 more source
Human Activities Detection using DeepLearning Technique- YOLOv8 [PDF]
ITM Web of Conferences, 2023 Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities.
Motwani Nilesh Parmanand, S Soumya
doaj +1 more source
An improved pistachio detection approach using YOLO-v8 Deep Learning Models [PDF]
BIO Web of ConferencesPistachios are an agricultural product widely used in the food industry. It is very important that pistachios are presented to the consumer in good quality on time.
Gökalp Çınarer +1 more
doaj +1 more source
In Situ Identification Method of Maize Stalk Width Based on Binocular Vision and Improved YOLOv8
智慧农业, 2023 ObjectiveThe width of maize stalks is an important indicator affecting the lodging resistance of maize. The measurement of maize stalk width has many problems, such as cumbersome manual collection process and large errors in the accuracy of automatic ...
ZUO Haoxuan +5 more
doaj +1 more source
YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection
Frontiers in NeuroroboticsIntroductionAcupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.MethodsThis study introduces an advancement in the YOLOv8-pose keypoint detection algorithm, tailored for facial ...
Zijian Yuan +8 more
openaire +3 more sources
A Comparison of YOLOv8 Series Performance in Student Facial Expressions Detection on Online Learning
JOIN: Jurnal Online InformatikaStudent engagement in online learning is an important factor that can affect learning outcomes. One indicator of engagement is facial expression.
Dewi Tresnawati +2 more
doaj +1 more source
Underground helmet detection algorithm based on improved YOLOv8s
Meikuang AnquanIn 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 +3 more
doaj +1 more source
RA-YOLOv8: An Improved YOLOv8 Seal Text Detection Method
ElectronicsTo detect text from electronic seals that have significant background interference, blurring, text overlapping, and curving, an improved YOLOv8 model named RA-YOLOv8 was developed. The model is primarily based on YOLOv8, with optimized structures in its backbone and neck.
Han Sun +4 more
openaire +1 more source
Research on mulberry leaf disease recognition method based on deep learning
Dianzi Jishu YingyongTo 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