YOLO-Jevois leverages YOLO-World to enable open-vocabulary object detection at runtime, no dataset or training needed YOLO is one of the most popular edge AI computer vision models that detects ...

This paper proposes a lightweight underwater object detection network called LightFusionNet-YOLO (LFN-YOLO). First, we introduce the reparameterization technique RepGhost to reduce the number of ...

Unmanned Aerial Vehicles (UAVs) are indispensable in promoting the development of remote sensing technology. Nevertheless, the tasks of object recognition in remote sensing images based on UAV ...

This paper proposes an object detection algorithm for UAV remote sensing images—YOLO-Remote, which aims to improve detection accuracy by enhancing YOLOv8. This algorithm innovatively integrates the ...

Object detection has been a fundamental challenge in the computer vision industry, with applications in robotics, image understanding, autonomous vehicles, and image recognition. In recent years, ...

In this project, we shall demonstrate the Deep Learning (DL) inference using a DL object detection model, YOLO-v3, which has already been trained on the COCO dataset. - GitHub - mghazel2020/Object ...