[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

J Terven, DM Córdova-Esparza… - Machine Learning and …, 2023 - mdpi.com
YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …

YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection

M Hussain - Machines, 2023 - mdpi.com
Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …

DC-YOLOv8: small-size object detection algorithm based on camera sensor

H Lou, X Duan, J Guo, H Liu, J Gu, L Bi, H Chen - Electronics, 2023 - mdpi.com
Traditional camera sensors rely on human eyes for observation. However, human eyes are
prone to fatigue when observing objects of different sizes for a long time in complex scenes …

Comparing YOLOv3, YOLOv4 and YOLOv5 for autonomous landing spot detection in faulty UAVs

U Nepal, H Eslamiat - Sensors, 2022 - mdpi.com
In-flight system failure is one of the major safety concerns in the operation of unmanned
aerial vehicles (UAVs) in urban environments. To address this concern, a safety framework …

A modified YOLOv8 detection network for UAV aerial image recognition

Y Li, Q Fan, H Huang, Z Han, Q Gu - Drones, 2023 - mdpi.com
UAV multitarget detection plays a pivotal role in civil and military fields. Although deep
learning methods provide a more effective solution to this task, changes in target size, shape …

Msft-yolo: Improved yolov5 based on transformer for detecting defects of steel surface

Z Guo, C Wang, G Yang, Z Huang, G Li - Sensors, 2022 - mdpi.com
With the development of artificial intelligence technology and the popularity of intelligent
production projects, intelligent inspection systems have gradually become a hot topic in the …

Brain tumor detection based on deep learning approaches and magnetic resonance imaging

AB Abdusalomov, M Mukhiddinov, TK Whangbo - Cancers, 2023 - mdpi.com
Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …

BL-YOLOv8: An improved road defect detection model based on YOLOv8

X Wang, H Gao, Z Jia, Z Li - Sensors, 2023 - mdpi.com
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 …

Tph-yolov5++: Boosting object detection on drone-captured scenarios with cross-layer asymmetric transformer

Q Zhao, B Liu, S Lyu, C Wang, H Zhang - Remote Sensing, 2023 - mdpi.com
Object detection in drone-captured images is a popular task in recent years. As drones
always navigate at different altitudes, the object scale varies considerably, which burdens …

Multi-scale ship detection algorithm based on YOLOv7 for complex scene SAR images

Z Chen, C Liu, VF Filaretov, DA Yukhimets - Remote Sensing, 2023 - mdpi.com
Recently, deep learning techniques have been extensively used to detect ships in synthetic
aperture radar (SAR) images. The majority of modern algorithms can achieve successful …