The CA-YOLO (Coordinate Attention-YOLO) model has been optimized for object detection in complex remote sensing images, addressing key issues faced by algorithms that detect multiple objects. These ...

Existing object detection methods often optimize model structure, loss functions, and data preprocessing, but enhancements via convolutional techniques are often overlooked. Additionally, increasing ...

Extensive experiments conducted on the pineapple dataset have demonstrated that, compared to existing mainstream object detection models, DPD-YOLO exhibits highly competitive detection performance, ...

This project implements real-time object detection using the YOLOv5 model and integrates a speech functionality to announce detected objects. The system uses a webcam to capture video frames, detects ...

Learn how to set up YOLO object detection on Raspberry Pi AI HAT. Step-by-step guide for hardware, software, and real-world applications.

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 ...