This paper will be focused on such challenges by proposing a new YOLOv8-based instantaneous image segmentation model. The proposed model leverages the latest novelty in the YOLO architecture to optimize the same for both speed and accuracy on remote sensing image segmentation tasks. Contrary to ...
3.2.1. Image segmentation using YOLOv8 You Only Look Once (YOLO) network, originally proposed by Redmon et al. [29], has since evolved through various iterations [30] with contributions from different researchers and teams. In this work, the YOLOv8 model was utilized for segmenting rabbits in...
这一特性使得YOLOv8非常适合于飞机构件的识别与分割任务,尤其是在复杂环境下的应用。通过对YOLOv8的改进,我们希望进一步提升其在飞机构件识别中的表现,特别是在处理不同种类飞机构件时的准确性和鲁棒性。 在数据集方面,本研究使用了PartImageNet数据集,该数据集包含1800张图像,涵盖31个类别的飞机构件和生物体部件,...
Example of using YOLOv8 of Ultralytics in to Object Detection, Semantic Segmentation about image and video in PyQt - yjg30737/pyqt-ultralytics-yolo-gui
To address the problems of low detection efficiency and false detection of small target defects in the intelligent detection of X-ray image weld defects of industrial pressure pipelines, this paper proposed a more efficient and light EL-YOLOv8 weld defect detection algorithm. Firstly, data augmentati...
Convolutional Neural Networks (CNNs) are a prevalent type of deep learning network widely used in image classification, object detection, and image segmentation. As shown in Fig. 4, we chose the EfficientNet-B0 network for vehicle recognition in this study. EfficientNet, proposed by Google, is ...
They proposed a self-supervised learning method to solve the task of driving area and road anomaly segmentation. Results showed that the semantic segmentation neural network trained on RGB-D data using this method could effectively predict segmentation labels for driving areas and road anomalies. Bov...
Panigrahy, S., Karmakar, S.: Real-time condition monitoring of transmission line insulators using the yolo object detection model with a uav. IEEE Transactions on Instrumentation and Measurement (2024) Zhang, L., Li, B., Cui, Y., Lai, Y., Gao, J.: Research on improved yolov8 algorith...
Example of using YOLOv8 of Ultralytics in to Object Detection, Semantic Segmentation about image and video in PyQt This is an example of how to easily use Ultralytics' YOLOv8 object detection and image segmentation models in PyQt. A class called YOLOWrapper is created to download the model ...
model.py: The Python code for the ML backend model for image segmentation (PolygonLabels). model_det.py: The Python code for the ML backend model for image detection (RectangleLabels) (rename it to model.py to use). best.pt: The pre-trained YOLOv8 model for pill classification. uwsgi....