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Polymers Hyperspectral Imaging
Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification Polymers Dataset Description: The polymers dataset is a multiscene... -
TPCOMP: Temporal Point Clouds of a wOrkpiece in the Machining Process
Temporal point clouds sampled from a workpiece in progress using 16 different machining tools. The datasets were created using a machining simulation in the Unit Industrial... -
YOLO-WAL: Fluid emission detection by Water-column Acoustics and a deep Learn...
YOLOv5-WAL is a YOLOv5-based deep learning supervised approach to automate the detection of fluids emitted from the seafloor (e.g. methane bubbles from cold seeps and liquid... -
UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions...
MUNICIPAL SOLID WASTE DETECTION MODEL OF CONFERENCE PAPER (UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions) The population growth and urbanisation... -
Multi-Modal Earth Observation and Deep Learning for Urban Scene Understanding
📌 This repository is a collection of all sub-repositories each of which has been been developed to solve a specific objective set by this research. The repositories are... -
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur...
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur roboterbasierten Handhabung von verzweigten Leitungssätzen. In den Daten sind Rohdaten mit... -
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset a...
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for: "Scanpath Prediction on Information Visualizations"
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for "VisRecall: Quantifying Information Visualisation Recallability via ...
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to... -
Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion -...
This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2023-12-01. Underwater or aerial images collected by scientists or citizens can have a wide... -
EHL Dataset EOSC Fast Track Grant Covid-19 Data Analysis with CXR Images (Cov...
The total size of the EHL Data is 305 MB, and the images’ resolutions vary quite a lot. Some Covid-19 images are about 1239x1024 and other normal images in the dataset are... -
Supplementary Material for "Process Data Properties Matter: Introducing Gated...
Supplementary material for the article: Heinrich, Kai ; Zschech, Patrick ; Janiesch, Christian ; Bonin, Markus: Process Data Properties Matter: Introducing Gated Convolutional... -
Deep learning models for generation of precipitation maps based on NWP Data
Numpy arrays used in the paper "Deep learning models for generation of precipitation maps based on NWP". trn = training set vld = validation set tst = test set x =... -
Post-processing of NWP precipitation forecasts using deep learning data
Train and test sets used for the ANNs post processing of NWP to predict precipitation -
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur...
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur roboterbasierten Handhabung von verzweigten Leitungssätzen. In den Daten sind Rohdaten mit... -
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset a...
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to...
