Yolo vehicle detection. Object detection applications using YOLO were categorize...

Yolo vehicle detection. Object detection applications using YOLO were categorized into three primary domains: road traffic, autonomous vehicle development, and industrial settings. A detailed analysis was conducted for each domain, providing quantitative insights into existing implementations. 767172261 / Deep-Learning-Dataset_Two-Wheel-NonMotor-Vehicle-and-Helmet-Wearable-Target-Detection-Dataset-yolo-f Public Notifications You must be signed in to change notification settings Fork 0 Star 0 Mar 1, 2026 · An improved YOLOv10 algorithm based on knowledge distillation for vehicle and pedestrian detection in autonomous driving scenarios, YOLO-ACE provides a more efficient vehicle and pedestrian detection solution in autonomous driving scenarios, promoting further development of autonomous driving systems. AI-based vehicle defect detection system using YOLO and computer vision to identify scratches, dents, cracks, broken lamps, glass damage from car images. Jan 27, 2026 · To address these challenges, we propose a novel vehicle detection framework called YOLO with Deformable Convolution and Cross-channel Coordinate Attention (YOLO-DC). The YOLO algorithm revolutionized object detection by introducing a single, unified approach that performs both object localization and classification in a single pass. Traffic Management using YOLO for Vehicle Fitness and License Plate Detection with Automated Alert System. - Tanishka72/car-defect-detection-yolo Dec 22, 2025 · Traffic congestion at toll gates remains a significant issue, primarily due to manual vehicle identification and payment processes. YOLO is a real-time object detection model that identifies multiple objects in a single pass. It divides the input image into a grid Yan, Yier; Liang, Zhibin; Liu, Changhong; Zou, Tao (2026) EFD-YOLO: An Improved YOLOv8 Network for River Floating Debris Object Detection. zliqy jaci kqqybx qjw htbpv jnofj ifwja wovrgt zemrma ijvm