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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal la...
The thickness and appearance of retinal layers are essential markers for diagnosing and studying eye diseases. Despite the increasing availability of imaging devices to scan and... -
Benchmark dataset Turbulent Channel Flow for Chaos Meets Attention: Transform...
This dataset serves as a benchmark for 3D turbulent channel flows, based on simulations performed using a high-fidelity lattice Boltzmann method (LBM) solver, as described in... -
CYCLEGYRO Dataset
This dataset consists of multivariate time series data featuring gyroscope measurements collected during cycling. It contains 414 data samples. The original data was collected... -
<b>Coral Reef Soundscapes from a Global Restoration Programme</b>
Overview See the associated study (Williams et al., 2025) for full details on the dataset and analysis. This repository contains a large dataset of raw soundscape recordings and... -
Datasets and models for monitoring ultra-short pulse laser texturing using sp...
This repository contains spectrometric data acquired during laser femtosecond texturing campaigns on 316L steel samples. Deep learning models have been trained on this data to... -
Datasets for <i>Personalizing Federated Instrument Segmentation With Visual T...
Preprocessed EndoVis 2017 [1], EndoVis 2018 [2], and SAR-RARP [3] datasets for federated instrument segmentation. [1] M. Allan, “2017 robotic instrument segmentation... -
Deep-sea observatories images labeled by citizen for object detection algorithms
Observatories provide continuous access to both coastal and deep-sea ecosystems, particularly from underwater imaging that is a non-destructive method for examining biodiversity... -
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... -
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... -
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... -
The BeachLitter Dataset v2022
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... -
Common Vulnerability Scoring System Prediction Based on Open Source Intellige...
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...
