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Historical Postcards Dataset
This deposit contains Historical Postcards Dataset (COCO) — v1.0 (2025), a Common Objects in COntext (COCO) format dataset of historical postcard images and structured... -
Autocontouring_DL data
Dataset including head and thorax organ contours of rodents used for training and testing of a deep learning model for automatic organ contouring in preclinical radiation... -
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... -
UAVPal
A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India. The main objective of this survey is to better automate urban scene... -
C3VD-Raycasting-10k: A Clinical Point Cloud Registration Dataset for Image-Gu...
C3VD-Raycasting-10k is a clinically grounded benchmark dataset for 3D point cloud registration in image-guided colonoscopy. It contains 10,014 geometrically aligned point-cloud... -
Proton and Neutron reduced phase space for surrogate modeling of Proton Thera...
Introduction This dataset corresponds to the simulation data used within AI methods in _"Fast proton transport and neutron production in proton therapy using Fourier... -
Jose et al. MLST 2025 - Code, Data and Models
This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the... -
QoI - Droplets
This dataset consists of a database of regular and distorted droplets with droplet clusters extracted from high-resolution shadowgraphy images in technical sprays. It serves... -
Nuisance - OOFObjs
This dataset contains the database of Out Of Focus Objects (OOFObjs)—currently mostly droplets and used for droplet sizing in shadowgraphy analysed sprays. The database... -
Nuisance - OOPObjs
This dataset contains the database of Out Of Plane Objects (OOPObjs) extracted from PIV (Mie scattering) measurements within an RQL-type combustor. The database is one... -
Background - Tracer particle regions
This dataset contains the database of image snippets of PIV tracer particles (i.e. Mie scattering) in the background, extracted from sooting flame measurements within an... -
QoI - Tracer particles
This dataset contains the database of image snippets of dense clusters of PIV tracer particles (i.e. Mie scattering) marking the reactants within sooting flame measurements... -
QoI - Soot filaments
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements, CFD simulations and generative models. The database is one subclass... -
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... -
140 HE and 111 CD3-stained colon biopsies of active and inactivate inflammato...
ALTERNATIVE DOWNLOAD ON GOOGLE DRIVE! To access the data, click "Read Full Description" [+] and then click here General description and ethics approvals: The dataset... -
Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep lear...
This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on... -
NorFisk Dataset
Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can... -
CGS: A Triplet Dataset for GNSS-R Vegetation Monitoring
Vegetation water content (VWC) is a crucial parameter for understanding vegetation dynamics and the hydrological cycle on Earth. Spaceborne global navigation satellite system... -
Code for training and using the soot (instance) segmentation models
This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the... -
Replication Data for: Deep learning based computational imaging and optical m...
A new study explores using deep learning to speed up optical scatterometry, a key quality control technique in computer chip manufacturing. This method could replace older,...
