Combining MediaPipe and YOLOv8, a deep learning method they ... This two-step approach of landmark tracking and object detection proved essential in ensuring the system's high accuracy and ...
“Combining MediaPipe and YOLOv8, along with fine-tuning hyperparameters for ... This two-step approach of landmark tracking ...
Abstract: The task of fine-grained object detection aims to accurately detect small objects in images, which has become increasingly valuable in smart agriculture applications. Existing detection ...
In this study, we leverage state-of-the-art object detection and segmentation models, specifically the single-stage YOLOv8 model, fine-tuned on a large-scale Unified Benchmark Camouflaged Object ...
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Computer Vision-Based Recognition of American Sign LanguageCombining MediaPipe and YOLOv8, along with fine-tuning hyperparameters ... This two-step method of landmark tracking and object detection proved essential in achieving high accuracy and efficiency ...
This module enhances detection accuracy by integrating high-level features with contextual data. YOLOv8 adopts an anchor-free approach with a decoupled head that independently processes object ...
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