Abstract: This paper presents a robust approach for object detection in aerial imagery using the YOLOv5 model. We focus on identifying critical objects such as ambulances, car crashes, police vehicles ...

This project demonstrates object detection using YOLOv5. The model is trained on a custom dataset and can detect objects in new images. YOLOv5 is a state-of-the-art object detection model known for ...

Hi everyone and @glenn-jocher. I am a beginner at using YOLOv5. My task is to detect objects from 4 classes of garbage (recyclable, harmful, kitchen, and other), which include various specific items ...

Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf8600, Switzerland ...

Abstract: Underwater object detection is harder than that on land. With the rapid development of deep learning, more and more object detection algorithms have been proposed. They have a great ...