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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... -
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... -
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... -
multispectral images from the orchard, detecting HLB citrus disease
The dataset contains a collection of multispectral images constituted of 14 VisNIR bands. Images were collected in-situ in brazillian citrus commercial orchard, in the state... -
Self-supervised transfer learning with synthetic lesions for brain resection ...
Poster and presentation presented for my MPhil upgrade at the Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom on 19th... -
A kinetic Monte Carlo dataset of monoatomic step roughening for deep generati...
<p>Deep Generative models have shown impressive capabilities in several applications, e.g., image, video, and audio synthesis. Importantly, they can infer probability... -
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... -
MassiveFold data for target H1217 - T258
MassiveFold data generated for CASP16, in collaboration with CAPRI . 395 predictions were generated for the target. - a description of the setup can be found in... -
MassiveFold data for target H1220 - T262
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1231
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1246
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target H1233 - T280
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1235 - T290
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...
