Artificial Intelligence
The cigarette packaging defect dataset consists of 18,862 images encompassing 26 types of defects. Each image has a resolution of 1600×1200. We utilized the LabelImg software package to annotate the images, assigning a bounding box and a class label to each defect. These annotations are saved in VOC format. All data will be made publicly available upon the acceptance of the paper. For further details, please contact the corresponding author.
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The objective of this study is to conduct a systematic examination of research trends and hotspots in the domain of autonomous vehicles leveraging deep learning, through a bibliometric analysis. By scrutinizing research publications from various countries spanning 2017 to 2023, this paper aims to summarize effective research methodologies and identify potential innovative pathways to foster further advancements in AVs research. A total of 1,239 publications from the core collection of scientific networks were retrieved and utilized to construct a clustering network.
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This dataset contains different intestinal polyp datasets, in which the method of dividing test set and training set is the same as that mentioned in most intestinal polyp segmentation methods, where the training set consists of pictures from Kvasir and CVC-ClinicDB, and pictures from the two datasets are mixed into the same training set. The test set clearly indicates the division of the test set from different data sets in the form of folder names, and all images are unified as 352*352.
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3D Gaussian Splatting performs 3D reconstruction by densifying sparse point clouds into Gaussian ellipsoids of the order of 100,000, and the reconstruction results show excellent visual effects. However, the point cloud data derived from 3D Gaussian Splatting is not fully utilized in the reconstruction process. To this end, this paper proposes to optimize the point cloud data derived from 3D Gaussian Splatting to improve the rendering quality of 3D Gaussian Splatting. First, the sparse point cloud is input into 3D Gaussian Splatting for reconstruction.
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403 Views
Modern automotive embedded systems include a large number of electronic control units (ECU) responsible for managing sophisticated systems such as engine control, ABS brake systems, traction control, and power steering systems. To ensure the reliability and effectiveness of these functions, it is essential to apply rigorous test approaches and standards. The integration of diagnostic functions in automotive embedded systems demands consistent tests and a detailed analysis of data.
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Animal habitat surveys play a critical role in preserving the biodiversity of the land. One of the effective ways to gain insights into animal habitats involves identifying animal footprints, which offers valuable information about species distribution, abundance, and behavior.
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Data sources of MKG with structured medical knowledge database and unstructured scientific publications
Source Type
Name
Related researches
Structured medical knowledge database
KEGG
[20]
SIDER
[21]
ICD-10
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150 Views
The dataset aims to compile images of buildings with structural damage for analysis. The images can be classified by the severity of damage to building facades after seismic events using deep learning techniques, particularly pre-trained convolutional neural networks and transfer learning. The analysis can precisely identify structural damage levels, aiding in effective evaluation and response strategies.
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262 Views