August 11, 2025

Research on an improved small target detection algorithm for YOLOv8

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The improved YOLOv8 model significantly enhances small target detection accuracy, leading to more reliable identification in challenging conditions.
Key metrics show marked improvements in P, recall R, and average accuracy (mAP@0.5) when using the upgraded model compared to standard YOLOv8.
Utilizing a novel approach with the Swin Transformer and specific modules enhances feature extraction and representation of small targets.
These advancements support intelligent robots in accurately identifying small targets, which is crucial for various technological applications.

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An enhanced YOLOv8 model improves detection accuracy for small targets, indicating better performance in complex environments.

Guo et al. (2025) studied this question.

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