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In the past decade, object detection technology has developed rapidly. However, in the field of unmanned aerial vehicle (UAV) image object detection, challenges such as complex environments, numerous ...
This work focuses on developing a code that uses computer vision and machine learning techniques to detect abnormalities such as damaged cars, explosions, accidents, and indications of fire. To ...
In the point cloud 3D object detection task, the point cloud data is unevenly distributed in 3D space. Therefore, whether it is regular sparse convolution or submanifold sparse convolution, there is a ...
Object detection using deep learning, one of the most challenging problems in computer vision, seeks to locate instances of objects from a large number of predefined categories in natural images.
Remote sensing image object detection has broad application prospects in civil fields, such as environmental monitoring and resource exploration. Since remote sensing images are characterized by ...
This work presents to detect road signs in a few seconds for avoid accidents. For this work, there is utilized YOLO v5 object detection algorithm with PyTorch. In this method, image preprocessing is ...
With the continuous development of electrical, automation, and artificial intelligence (AI) systems, ensuring the security of system data has become increasingly important. Compared to external ...
To meet the above challenges, this paper proposes a CNN-LSTM-Adaboost neural network model based on Bayesian optimization (BO) for excavator working object recognition.
The automation of daily tasks via the Internet of Things (IoT) has drastically changed people’s lives in the last few years. By connecting different physical devices with various functionalities, this ...
The study of computer systems and software that can recognize and understand scenes and images is known as computer vision. Image recognition, object detection, image synthesis, image super resolution ...
With the rapid development of deep learning methods, object detection, as one of the most basic and challenging tasks in the field of computer vision, has made remarkable progress. Graph convolutional ...
This research utilizes the YOLOv9c model, an advanced object detection web application, integrating it into a Flask framework. The proposed method involves dataset gathering from users, data ...