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<b>Coral Reef Soundscapes from a Global Restoration Programme</b>
Overview See the associated study (link TBC) for full details on the dataset and analysis. This repository contains a large dataset of raw soundscape recordings and... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
Spatiotemporal prediction of microstructure evolution with predictive recurre...
Prediction of microstructure evolution during material processing is essential to control the material properties. Simulation tools for microstructure evolution prediction based... -
Shadow-light images of simulated 25 classes of surface roughness for automati...
Many relationships important to civil engineering depend on surface roughness (morphology). Examples are the bond strength between concrete layers, the adhesion of a wheel to... -
Supplementary Material for Ph.D. Thesis: Deep Supervision of the Vocal Tract ...
Supplementary Material for Ph.D. Thesis: Deep Supervision of the Vocal Tract Shape for Articulatory Synthesis of Speech Videos demonstrating the methods proposed in the thesis... -
Unifying Antimicrobial Peptide Datasets for Robust Deep Learning-Based Classi...
Leguminous crops are vital to sustainable agriculture due to their ability to fix atmospheric nitrogen, improving soil fertility and reducing the need for synthetic fertilizers.... -
Dataset for publication: Usefulness of synthetic datasets for diatom automati...
This repository contains the dataset and code used to generate synthetic dataset as explained in the paper "Usefulness of synthetic datasets for diatom automatic detection using... -
Wild-Anim Dataset
The Wild-Anim dataset available from this page consists of 5 classes that contains uniformly distributed images examples of wild animals. In total, the dataset contains 5000... -
Benchmark data for: Machine Learning for geospatial vector data classification
Benchmark data for paper "Deep Learning for Classification Tasks on Geospatial Vector Polygons". Core of the data is in the six numpy zip files. Each numpy zip contains the... -
Recognition of Holstein Cattle with Thermal and RGB images
This data set was collected from the Dairy Campus in Leeuwarden (The Netherlands) with a FLIR E6 thermal camera over a period of 9 days. It consists of 3694 images of 383, with... -
EGOFALLS: A visual-audio dataset and benchmark for fall detection using egoce...
We've provided a readme.pdf to explain how to use the dataset. Here, we reiterate some of that information to assist others in utilizing the dataset. Please be aware that the... -
HRVQA dataset underlying the PhD thesis of Kun Li: Interactive Vision-Languag...
Visual question answering (VQA) is an important and challenging multimodal task in computer vision. We bring VQA task to high-resolution aerial images and propose a large-scale... -
Eindhoven Wildflower Dataset
Annotated dataset with 2002 high-resolution images of wildflowers (patches of approximately 1m2) taken in 5 landscape types (roadsides, urban area’s, cropland, grassland, and... -
Brazilian Cerrado natural vegetation dataset
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... -
3-D seismic interpretation with deep learning: a set of Python tutorials
Here we are sharing our code, tutorials and examples used to interpret geological structures (e.g. faults, salt bodies and horizones) in 2-D and/or 3-D seismic reflection data... -
2D and 3D convolutional neural networks for outcome modelling of locally adva...
These are the results from the analyses presented in a paper submitted to Scientific Reports. The zip file contains the trained model files and the plots that were used in the... -
Building facade images for window states
The data was used for "Impact of Traditional Augmentation Methods on Window States Detection", which is a conference paper of CLIMA2022. The main purpose of this data is for... -
BePLi Dataset v1: Beach Plastic Litter Dataset version 1
The BePLi Dataset v1 (Beach Plastic Litter Dataset version 1) comprised 3708 original images taken in various coastal environments and the corresponding instance-based and...