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F1 Score Comparison between WA-YOLO and YOLOv8.

F1 Score Comparison between WA-YOLO and YOLOv8.

<p>Where (a) is the F1 score chart, and (b) is the F1 score difference chart.</p>

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Bibliographic Details
Main Author: LinNa Li (5665885) (author)
Other Authors: Han Gao (486886) (author), JunYi Lu (21162047) (author), XiaoXiao Xu (21162050) (author)
Published: 2025
Subjects:
Biochemistry
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
parallel attention mechanism
novel convolutional block
new convolutional block
iou loss function
improved algorithm based
model &# 8217
improved model achieved
varying aspect ratios
experimental results show
depthwise separable convolution
yolov8 </ p
improving feature extraction
blasting sites based
integrate wavelet convolution
average precision increase
separable convolution
blasting sites
model uses
varying scales
results indicate
recall increase
blasting safety
voc2012 dataset
scale convolutions
paper proposes
overlap calculations
object scales
neck network
irregular shapes
effective solution
detonator wires
detect objects
critical issues
complex environment
complex backgrounds
c2f module
built dataset
bounding boxes
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