ABSTRACT: This paper presents a comprehensive approach to face detection utilizing the YOLOv8 model, specifically trained on a diverse dataset consisting of images from four individuals. The trained ...

Also do know that the terms like object detection ... images using Edge Impulse, so I am not going to explain that. Instead, I will be focusing on image acquisition using ESP32-CAM itself. This is ...

Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5 ... reflecting the robustness of the object detection algorithm. There are also applications beyond public ...

However, for example, in places with high traffic ... In order to improve the detection accuracy and other issues, based on the YOLOv5 object detecting algorithm, we first created a dataset MaskData ...

By improving the classical YOLOv5 ... images. Finally, the defective insulators are attached to different backgrounds. J. Redmon proposed the first version of the YOLO algorithm (Redmon et al., 2016), ...

After the above calculation, the image can basically reach the recognition standard. The first step of traditional target detection is to extract features, such as the LBP feature and HOG feature.