An improved YOLO model for traffic signs small target image detection

T Han, L Sun, Q Dong - Applied Sciences, 2023 - mdpi.com
Traffic sign detection significantly reduces traffic accidents, but in real-world scenarios, the
considerable distance between traffic signs and in-vehicle cameras means only a small …

RTAIAED: a real-time ambulance in an emergency detector with a pyramidal part-based model composed of MFCCs and YOLOv8

A Mecocci, C Grassi - Sensors, 2024 - mdpi.com
In emergency situations, every second counts for an ambulance navigating through traffic.
Efficient use of traffic light systems can play a crucial role in minimizing response time. This …

Research on Coal and Gangue Recognition Based on the Improved YOLOv7-Tiny Target Detection Algorithm

Y Sui, L Zhang, Z Sun, W Yi, M Wang - Sensors, 2024 - mdpi.com
The recognition technology of coal and gangue is one of the key technologies of intelligent
mine construction. Aiming at the problems of the low accuracy of coal and gangue …

A cascaded deep learning framework for iris centre localization in facial image

N Ahmad, G Muhammad, KS Yadav, RH Laskar… - Expert …, 2024 - Wiley Online Library
Accurate iris centre localization is crucial in many computer vision and facial biometric
applications such as gaze estimation, human–computer interaction, iris recognition, and …

Robust iris localization algorithm based on improved YOLOv4 and self-organized particle swarm optimization

Y Li, W Tang - … Conference on Computer Vision and Data …, 2024 - spiedigitallibrary.org
Content Aiming at the problem that iris images are easily affected by eyelid and eyelash
noise, which leads to low positioning accuracy and poor stability, an iris positioning network …