Abstract: A lightweight rotational object detection algorithm, R-YOLOv5, is proposed to address the limitations of traditional object detection algorithms that do not consider the diversity of vehicle ...

See how firms from Goldman Sachs to Bridgewater are using it. Welcome to Wall Street's AI era. Banks, hedge funds, asset managers, and private equity firms have been eager to use generative AI to ...

Real-time detection of long-distance and small-scale objects remains difficult due to resolution and computational constraints. This study proposes an improved lightweight object detection model, You ...

The project utilizes the Darknet framework to implement YOLO object detection, with optional GPU support via CUDA for enhanced performance. The system includes tools for data labeling, model training, ...

Improve tracking robustness in crowded scenes with better multi-object tracking algorithms. Fine-tune the detection model on more diverse datasets to handle challenging conditions like low light or ...