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Abstract: Small-object detection in aerial imagery remains challenging due to background clutter, occlusion, and extreme scale variation. This paper presents YOLO–Spatial Attention Enhancement ...

Abstract: In the present research work, a system is developed that can detect objects in real-time using a combination of the ESP32 CAM module and Python programming. The goal was to show how ...

The number of wheat spikes has an important influence on wheat yield, and the rapid and accurate detection of wheat spike numbers is of great significance for wheat yield estimation and food security.

cd YOLO-OpenCV-Python wget -c https://pjreddie.com/media/files/yolov2.weights wget -c https://pjreddie.com/media/files/yolov2-tiny.weights wget -c https://pjreddie ...

With the development of bionic computer vision for images processing, researchers have easily obtained high-resolution zoom sensing images. The development of drones equipped with high-definition ...

YOLO, meaning 'You Only Look Once', is a popular model for real-time object detection. The YOLO algorithm divides images into a grid, with each cell responsible for detecting objects. YOLOv1, ...

This repository contains multiple samples demonstrating how to use YOLO models with the ZED camera, utilizing the highly optimized TensorRT library, as well as a Python sample that uses PyTorch and ...