Although some cutting-edge object detection algorithms in remote sensing images perform well in terms of accuracy, their inference speed is slow and requires high hardware requirements that are not ...

In foggy driving environments, the precision of object detection by autonomous driving systems is significantly diminished compared to clear weather conditions. To date, there is an abundance of work ...

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data ...

This repository provides a real-time object detection system based on YOLOv3 and its variants, including a modified YOLOv3 configuration with hybrid logic and ResNet-style augmentation. The system is ...