In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

This project is a real-time object detection system that leverages the YOLOv5 model for detecting objects in a video stream from a webcam or other video input. The system is built using a Flask web ...

I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always ...

The science of computer vision has recently seen dramatic changes in object identification, which is often regarded as a difficult area of study. Object localization and classification is a difficult ...

Abstract: Extracting the coordinates of objects has been done in the past using many methods with the most popular one being the use of Kinect Depth Sensors. However, these methods are expensive as ...

Abstract: For vehicles to have the option to drive without anyone else, they have to comprehend their encompassing outside as human being chauffeurs, so they can explore their aisle in roads, delay at ...

Object detection classifies and locates objects in images, vital for applications like autonomous navigation and sports analytics. Bounding boxes are commonly used for locating objects, with standard ...