Integrating advanced object detection into your projects has become more accessible with the Raspberry Pi AI HAT ... and positional tracking. By using pre-built pipelines and GPIO components ...

As a list, you can see below: The circuit diagram need for this object detection project is very simple as there ... Next, you can use "Classify using YOLOv5" to recognize some of the common objects ...

However, existing detection methods still exhibit limitations in both detection accuracy and speed due to the intricate background of tea buds and their small size. This study uses YOLOv5 as the ...

This way, the sensitivity of using IoU alone to small objecet detection anchor box threshold changes was reduced. Furthermore, Convolutional Block ... the YOLOv5 model. It simultaneously enhances the ...

Abstract: A lightweight rotational object detection algorithm, R-YOLOv5, is proposed to address the limitations ... A cascaded Swin Transformer block (STrB) is used to reduce computational complexity ...

YOLOv4 runs twice faster than EfficientDet with comparable performance, as shown in the below diagram ... newest version of the YOLO object detection series, and with the continuous effort and 58 open ...