Artificial Intelligence
The ARKitFace dataset is established for training and evaluating both 3D face shape and 6DoF in the setting of perspective projection. A total of 500 volunteers, aged 9 to 60, are invited to record the dataset. They sit in a random environment, and the 3D acquisition equipment is fixed in front of them, with a distance ranging from about 0.3m to 0.9m. Each subject is asked to perform 33 specific expressions with two head movements (from looking left to looking right / from looking up to looking down). 3D acquisition equipment we used is an iPhone 11.
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The portrait thangka image is a kind of religious scroll painting that expresses figures' identity and duties through portraits, sitting platforms, and backlighting.we elaborately collected a dataset of portrait-like thangkas, which consists of 4086 images covering four object categories.We provide rich annotation for this dataset.
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This work aims to identify anomalous patterns that could be associated with performance degradation and failures in datacenter nodes, such as Virtual Machines or Virtual Machines clusters. The early detection of anomalies can enable early remediation measures, such as Virtual Machines migration and resource reallocation before losses occur. One way to detect anomalous patterns in datacenter nodes is using monitoring data from the nodes, such as CPU and memory utilization.
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We propose a real world data set comprising light field images of 19 objects captured with the Lytro Illum camera in outdoor scenes and their corresponding 3D point clouds, as ground truth, captured with the 3dMD scanner. This data set allows more precise 3D pointcloud level comparison of algorithms for the task of depth estimation or 3D point cloud reconstruction from light field images.
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FARLEAD2 receives a test scenario from the developer, and verifies a related functional behavior by witnessing the test scenario in the Application Under Test, on a real mobile device. The 'results.zip' file contains 204 Comma-Separated Values (CSV) files and a Perl script 'createtable.pl' that generates Table 2 in the manuscript. Each CSV file contains the results of ten runs of a witness generator for a test scenario under a given level of information. The experimental test scenarios are located in the 'scenarios.zip' file.
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Weibo_senti_100k sentiment classification data set is a two-class classification data set, the average length is 42.9 words. This data set contains 100,000 pieces of Sina weibo text data, including two categories.THUCNews news classification data set contains 50,000 pieces of data, the average length is 534.53 words, including 10 categories.
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The support dataset for paper "Prediction for loosening life of bolted joints using IMUs with dimensionality reduction"
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Our dataset can be used to study the relationship between infrared video, EEG and sleep classification, as well as for cross-modal studies. The final version of the dataset contains synchronised IR video features, EEG and labels. We have spent about two years collecting a new dataset. Existing sleep datasets (e.g., MASS, SHHS, Sleep-EDF) contain only physiological electrical signals (EEG, EOG, EMG, etc.). Our dataset contains both these and simultaneous infrared sleep video data.
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Here are 3 public datasets on relation extraction.
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130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories:
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