-
Deep learning models for segmentation of dynamic axial MRI of hernia patients
This dataset contains anonymized axial magnetic resonance imaging (MRI) data of abdominal region of eighteen in vivo participants having an abdominal hernia. The acquisitions... -
A multi-centre, multi-device benchmark dataset for landmark-based comprehensi...
FetalBiometry-MultiCentre-Landmarks is a comprehensive benchmark dataset for landmark-based fetal biometry estimation from 2D ultrasound, comprising 4,513 de-identified... -
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... -
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... -
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... -
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... -
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... -
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... -
3DMSL - 3D Mitochondria Shape Library for Optical Microscopy
Dataset description: This dataset contains individual 3D mitochondria extracted from 3D electron microscopy images in different 3D shape representation formats of meshes, point... -
Sentinel-1 maritime mesocyclone dataset
This dataset consists of 2004 geocoded Sentinel-1 image samples, divided into two classes: one class with mesocyclones being present in the images (class "pos"), and one class... -
Desmoke-LAP: Desmoking in Laparoscopic Surgery Dataset
This is the publicly available dataset from robot-assisted laparoscopic hysterectomy surgery providing a benchmark for designing and validating smoke removal algorithms.... -
Fetoscopy Placenta Dataset
First Fetoscope Placenta Dataset for In-Vivo Vessel Segmentation and Mosaicking Overview The fetoscope placenta dataset described in [Bano et al. MICCAI2020] consists of in-vivo... -
<b>FetReg: Largescale Multi-centre Fetoscopy Placenta Dataset</b>
First publicly available largescale multi-centre dataset of in vivo fetoscopic videos with placental scene semantic annotations from the FetReg2021 – Endoscopic Vision... -
Multi-resolution X-ray tomography of a lattice structure for super-resolution...
Data originally supporting the article: Klos, A., Salvo, L. & Lhuissier, P. Super-resolution X-ray tomography using deep learning applied to the 3D quantification of defects... -
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... -
SR-TEE Dataset for Regressing Simulation to Real: Unsupervised Domain Adaptat...
This SR-TEE dataset is for our accepted paper at MICCAI2023 titled 'Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in... -
Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Tr...
This is the training data to support the work in 'Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance', published at the 2023 Data... -
Simcol3D - 3D Reconstruction during Colonoscopy Challenge Dataset
Colorectal cancer is one of the most common cancers in the world. By establishing a benchmark, SimCol3D aimed to facilitate data-driven navigation during colonoscopy. More... -
Force Dataset for A Deep Learning Approach to Classify Surgical Skill in Micr...
This dataset is for our accepted paper in the 'Sensors' journal titled 'A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel...
