Artificial Intelligence
Dataset generated with Unreal Engine 4 and Nvidia NDDS. Contains 1500 images of each object: Forklift, pallet, shipping container, barrel, human, paper box, crate, and fence. These 1500 images are split into 500 images from each environment: HDRI and distractors, HDRI with no distractors, and a randomized environment with distractors.
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We provide ground truth images and moiré images in raw domain and sRGB domain respectively, which are placed in four folders gt_RAW_npz, gt_RGB, moire_RAW_npz and moire_RGB. The ground truth raw image is actually pseudo ground truth. The users can regenerate them by utilizing other RGB to raw inversing algorithms. Our raw domain data is stored in npz format, including black level corrected data, black level value, white level value and white balance value.
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571 Views
The data is divided into a training set of 999 images and a test set of 335 images. The size of each 2D ultrasound image is 800 by 540 pixels with a pixel size ranging from 0.052 to 0.326 mm. The pixel size for each image can be found in the csv files: ‘training_set_pixel_size_and_HC.csv’ and ‘test_set_pixel_size.csv’. The training set also includes an image with the manual annotation of the head circumference for each HC, which was made by a trained sonographer.
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987 Views
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320 Views
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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663 Views
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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237 Views
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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743 Views
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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289 Views
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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5 Views
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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289 Views