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Date Estimation in the Wild Dataset
This dataset has no description
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3D µCT images of specimens of carbon fiber reinforced polyamide 6 plaque, fib...
This dataset includes 3D µCT images of nine different specimen of 10 mm \times 10 mm of a carbon fiber reinforced polyamide 6 plaque produced in the long fiber reinforced... -
Ball Screw Drive Surface Defect Dataset for Classification
The dataset contains of 21835 150x150 Pixel RGB images of the surface of Ball Screw Drives. 11075 of these images are images without surface defects whereas the rest shows... -
Dataset for the Segmentation of Industrial Burner Flames
The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional... -
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The... -
Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Pro...
The dataset shows the development of 82 surface defects (pits) over the operating time of Ball Screw Drives. The name of the images is structured as follows:... -
Industrial Machine Tool Element Surface Defect Dataset
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical... -
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural...
This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models.... -
Multivariate time series dataset of milling 16MnCr5 for anomaly detection
The dataset was recorded during milling of 16MnCr5. Due to artificially introduced, though realistic anoma-lies in the workpiece the dataset can be applied for anomaly... -
Training and validation dataset of milling processes for time series prediction
Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens... -
Training and validation dataset 2 of milling processes for time series predic...
Das Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer... -
AIAx CAD Dataset
We present a dataset of 3D CAD models (.stl) from the field of mechanical engineering. There are 7 core classes (cover, flange, housing, mounting, rodprobe, sensor, tube) and 5... -
Model structures for glass phases of the solid-state electrolyte LPS
This dataset contains several representative glass structures for stoichiometries Li3PS4, Li4P2S7, and Li7P3S11 from the class of Li2S-P2S5 (LPS) solid-state electrolytes (SSE). -
Supplementary material: Machine learning based classification of vector field...
The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation... -
DECAF — A Fuzzy Classification Framework to Identify Equivalent Atoms in Comp...
This data set contains implementation code and examples for the methodology described in the research article with the title "A Fuzzy Classification Framework to Identify... -
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC -
DSAC++ Visual Camera Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide... -
Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also... -
Learning the Likelihood: Using DeepInference for the Estimation of Diffusion...
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference... -
DSAC* Visual Re-Localization [Data]
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes...
