引用格式 : 翁智, 刘海鑫, 郑志强 . CSD-YOLOv8s: 基于无人机图像的密集小目标羊只检测模型[J]. 智慧农业( 中英 文), 2024, 6(4): 42-52. DOI : 10.12133/j.smartag.SA202401004 WENG Zhi, LIU Haixin, ZHENG Zhiqiang. CSD-YOLOv8s: Dense Sheep Small Target Detection Model Based on UAV Images[...
conditions, in this paper, we propose a ship detection algorithm CSD-YOLO (Context guided block module, Slim-neck, Deformable large kernel attention-You Only Look Once) based on the deformable large kernel attention (D-LKA) mechanism, which was improved based on YOLOv8 to enhance its ...
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2.2. Improved YOLOv8n In the field of ship target recognition, the YOLOv8 algorithm faces challenges in maintaining detection accuracy and efficiency in complex environments. This study chose YOLOv8n as the reference model and proposed enhancements. The network structure diagram of the CSD-YOLO algo...
In order to meet the demand for large-scale farms to achieve accurate real-time detection of a large number of sheep, a high-precision and easy-to-deploy small-target detection model: CSD-YOLOv8s was proposed to realize the real-time detection of small-targeted individual sheep under the ...
In order to meet the demand for large-scale farms to achieve accurate real-time detection of a large number of sheep, a high-precision and easy-to-deploy small-target detection model: CSD-YOLOv8s was proposed to realize the real-time detection of small-targeted individu...
conditions, in this paper, we propose a ship detection algorithm CSD-YOLO (Context guided block module, Slim-neck, Deformable large kernel attention-You Only Look Once) based on the deformable large kernel attention (D-LKA) mechanism, which was improved based on YOLOv8 to enhance its ...
conditions, in this paper, we propose a ship detection algorithm CSD-YOLO (Context guided block module, Slim-neck, Deformable large kernel attention-You Only Look Once) based on the deformable large kernel attention (D-LKA) mechanism, which was improved based on YOLOv8 to enhance its ...
Figure 2.YOLOv8n-CSD network structure diagram. 2.2.1. C2f-PC Module In orchard detection applications, deploying models through resource-constrained edge devices often makes it necessary to maintain detection accuracy while improving the lightness of the model. Therefore, enhancing model lightness wit...