38 datasets found

This is the training data to support the work in 'Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance', published at the 2023 Data...

8-class segmentation masks by high-quality manual pixel-by-pixel annotations, corresponding 3500 beach litter images from 2011 to 2019 in Yamagata Prefecture, Japan. (papers are...

This repository contains the dataset used to train BERT-based models based on open information sources. We aimed to build a more robust model to predict the Common Vulnerability...

Observatories provide continuous access to both coastal and deep-sea ecosystems, particularly from underwater imaging that is a non-destructive method for examining biodiversity...

Implementation of deep learning models for creating precipitation maps based on COSMO-DE-EPS forecast

Background: Digital subtraction angiography (DSA) is a fluoroscopy method primarily used for the diagnosis of cardiovascular diseases. Deep learning-based DSA (DDSA) is...

Despite the exponential growth of the amount of ground‐motion data, ground‐motion records are not always available for all distances, magnitudes, and site conditions cases....

The flow within adhering droplets subjected to external shear flows has a significant influence on the stability and eventual detachment of the droplets from the surface. Most...

PUBLICPLAN collects 2446 different labelled layouts of housing proposal submitted to Spanish public housing competitions organized by Impsol, Incasòl and Ibavi. Each floor is...

This study conducts research on deepfakes technology evolution and trends based on a bibliometric analysis of the articles published on this topic along with six research...

Software for 3D tracking of deformable bubbles in swarms

This package contains the software and the trained models described in the publication "3D detection and tracking of deformable bubbles in swarms with the aid of deep...

Synthetic data set for 3D tracking of bubbles in multi-view measurements.

The dataset contains the first of two processed open-source datasets used in the Github repository: https://github.com/IPMI-ICNS-UKE/AIMD.AI-for-microscopy-denoising The...

The dataset contains the second of two processed open-source datasets used in the Github repository: https://github.com/IPMI-ICNS-UKE/AIMD.AI-for-microscopy-denoising The AIMD...

This dataset is composed of Sentinel-1 and Sentinel-2 data of several areas of the Brazilian Cerrado for the development of supervised deep learning algorithms on SAR-optical...

Data originally supporting the article "Super-resolution X-ray tomography using deep learning applied to the 3D quantification of defects in lattice structures", by A. Klos, L....

Code and user study dataset for the paper: "“Can You Handle the Truth?”: Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users...