Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Researchers at the Institute of Automation, Chinese Academy of Sciences and Peking University have recently developed a novel approach to few-shot object detection. This innovative method, detailed in ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

Tea leaf diseases are significant causes of reduced quality and yield in tea production. In the Yunnan region, where the climate is suitable for tea cultivation, tea leaf diseases are small, scattered ...

Abstract: This research explores the challenge of dynamic environment object detection. Changing environment factors adversely affect the feature detection and robustness of the model. The approach ...

Abstract: The main goal of computer vision is to identify and recognize different objects of various size, shape and position. The major problems faced by the computer vision is the illumination and ...