Abstract: This research study presents an innovative approach to food calorie estimation using deep learning and computer vision techniques. With the growing concern over diet-related health issues, ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device. This project ...

Abstract: Closed-circuit television (CCTV) is essential in the security industry by providing surveillance, monitoring activities, recording incidents, and storing evidence. Research and developments ...

RDD2020 dataset comprising 26,336 road images from India, Japan, and the Czech Republic with more than 31,000 instances of road damage. Here we consider a subset of the dataset, i.e. the images from ...

Underwater target detection is an indispensable part of marine environmental engineering and a fast and accurate method of detecting underwater targets is essential. Although many target detection ...

Visual detection technology is essential for an unmanned surface vehicle (USV) to perceive the surrounding environment; it can determine the spatial position and category of the object, which provides ...

1 School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, China. 2 Shenyang Agricultural University, Shenyang, China. Helmets are one of the important measures to ...

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, ...