Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments.

Amidst the swift progress in deep learning, the YOLO series has redefined the standards for real-time object detection. The incorporation of the Transformer architecture into YOLO models has ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

In this paper, we address the problem of object detection in the complex environment of underground parking lots by proposing a real-time object detection system based on PointPillars. This system ...

This survey reviews advances in 3D object detection approaches for autonomous driving. A brief introduction to 2D object detection is first discussed and drawbacks of the existing methodologies are ...

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device. This project ...

Object detection is a key ability required by most computer and robot vision systems. The latest research on this area has been making great progress in many directions. In the current manuscript, we ...