… as reduced detection accuracy and increased false-negative … enhanced ‘you only look
once’ version 8 (YOLOv8) architecture specifically tailored for the intricate task of micro-capacitor …

… PCB components, YOLOv8-nano needs to be further improved to … as tiny resistors and
capacitors are concentrated in a small … placed on the board or a small local area of the board. The …

… enhance the diversity of our dataset, corona discharge images from various literature sources
were incorporated. The YOLOv8 … diode and a 10 nF smoothing capacitor generates HVDC. …

… To address these issues, in this paper, an advanced YOLOv8 (A-YOLOv8) is proposed,
in which an improved path aggregation network (I-PANet) is designed. This augmentation …

… YOLOv8 model to detect and precisely locate circuit components such as resistors, capacitors,
… As shown in Table 1, 94.89% average accuracy is observed and is better than the results …

… based on the improved YOLOv8 network in this paper. Initially, the improved YOLOv8 network
is used … The introduction of the GE attention module in the YOLOv8 network enhances its …

… the feature map, the YOLOv8 algorithm is categorized into five … among the five versions of
YOLOv8, so YOLOv8n is used as … detection model based on improved YOLOv8n. Aiming at the …

… Network, which possesses enhanced feature information extraction … Capacitors (MLCCs)
are widely used in the electronics industry due to their advantages of high capacity, small size, …

… The YOLOv5n model is trained to capture ROI and strengthened by incorporating the SAM
model to enhance segmentation performance. To address the issue of limited defect images, …

… ISE-YOLO-S obtains an AP that is 1.3% higher than YOLOv8-S [14]. Both scales of ISE…
Furthermore, we propose RDHead, which can enhance the detection ability by decoupling the …