Randomly adding Gaussian white noise. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

Algorithm detection performance. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

The structure of the optimized lightweight YOLOv5s model proposed in this paper (added Ghost (①), CA(②), and PAN-weight(③) to the original model). حسب Jie Yang (121778)

Model structure of the Small_obj algorithm. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

Effect of adding different modules on mAP_0.5. حسب Ruikang Xu (18778060)

Ablation study on the improved YOLOv5 algorithm. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

The randomness detection value of LCS and SCS. حسب Ye Tao (326899)

Level of depression detection. حسب Muhammad Irfan (255476)

Level of anxiety detection. حسب Muhammad Irfan (255476)

Mosaic dataset augmentation. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

Three types of loss curves. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

The structure of the Res2Block module. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

The structure of the BiFPN. حسب Kangning Li (6069629)

"…Finally, the performance of the improved YOLOv5 algorithm is validated through ablation experiments and comparative experiments with other defect detection algorithms, including the Small_obj algorithm the existing method of adding a small target detection head for identifying small target defects. …"

Validation analyses with multiple cohorts of datasets and characterization of genes located in regions with predicted CNV events. حسب Deng Wu (805710)

Partial dataset display. حسب Jie Yang (121778)

"…One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and limited detection performance. …"

YOLOv5s network structure diagram. حسب Jie Yang (121778)

"…One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and limited detection performance. …"

C3 module and C3Ghost. حسب Jie Yang (121778)

"…One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and limited detection performance. …"

The structure of coordinate attention. حسب Jie Yang (121778)

"…One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and limited detection performance. …"

PAN-weight. حسب Jie Yang (121778)

"…One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and limited detection performance. …"

Number of dataset instances. حسب Jie Yang (121778)

"…One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and limited detection performance. …"