Object Detection Using YOLOv4 is a computer vision project that uses the YOLOv4 (You Only Look Once) deep learning model for real-time object detection. The system captures video from a webcam, ...

This work is related to building a Human Detection system based on You Only Look Once (YOLO) v4. It is one of the most recent Deep Learning approaches primitively built using single shot detection ...

Abstract: This research work proposes a computer vision-based object detection system. It can recognize each and every object visible in the picture. Horizontal boundary boxes were used to detect ...

One of the computer vision techniques is object ... detection and classification of wetland fires with image and video input. YOLOv4 model training using the transfer learning method resulted in 92.39 ...

Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

The images of both image sets were extracted from the videos on a Windows 10 Enterprise 64-bit operating system by using ... algorithm YOLOv4 (Bochkovskiy et al., 2020) was used. YOLO (‘you only look ...