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datasets available to search
ShareScore release 0.9.0
Dataset results
107 results for “Computer vision”
P in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
P. guadarramae
P in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
P. tunesiacus
P in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
P. bocagei
Computer Vision Mice Breathing Tumor
<p>Video of tumor detection of mouse<br> Video of breathing of mouse for FWO grant</p>
A New Approach to Vision Therapy Based on Naturalistic 3-D Computer Gaming
ClinicalTrials.gov study NCT03066063. IPD Sharing: NO. Countries: 1. Publications: 0.
Computer Vision System for the Blind Veteran
ClinicalTrials.gov study NCT00920231. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Risk Factors Among Nursing Students Regarding Computer Vision Syndrome
ClinicalTrials.gov study NCT06660316. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Data from: Investigating human repeatability of a computer vision based task to identify meristems on a potato plant (Solanum tuberosum)
Open the record for dataset details and reuse information.
Data from: A computer vision for animal ecology
Open the record for dataset details and reuse information.
Data from "Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis"
<p>This dataset includes the collected geoscientific data of<strong> lunar images, seismic data, and DAS arrays</strong>.</p> <p>It can be used to test the foundation model adaptation in the geophysical domain.</p> <p>Below are some brief desription of the datasets:</p> <p>1) Lunar images for<strong> crater detection<a href="https://moon.bao.ac.cn/">[CAS]</a></strong> : 1000 are used for training and 199 for testing, each with a size of 1022x1022.</p> <p>2) Seismic data for <strong>geobody identification<a href="https://kaggle.com/competitions/tgs-salt-identification-challenge">[TGS]</a></strong> : 3000 are used for training and 1000 for testing, each with a size of 224x224.</p> <p>3) Seismic data for <strong>facies classification<a href="https://www.aicrowd.com/challenges/seismic-facies-identification-challenge">[SEAM]</a></strong> : 250 are used for training and 45 for testing, each with a size of 1006x782.</p> <p>4) Seismic data for <strong>deep fault detection </strong>: 1081 are used for training and 269 for testing, each with a size of 896x896.</p> <p>5) DAS arrays for <strong>seismic event detection<a href="../records/8270895">[Biondi]</a></strong> : 115 are used for training and 28 for testing, each with a size of 512x512.</p> <p><strong>Tips: All the images are “float32” and the labels are "int8".</strong></p> <p>The test code has been published on GitHub: <strong><a href="https://github.com/ProgrammerZXG/Cross-Domain-Foundation-Model-Adaptation/">Cross-Domain-Foundation-Model-Adaptation</a></strong>.</p>
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning (USF)
ClinicalTrials.gov study NCT06705439. IPD Sharing: NO. Countries: 1. Publications: 0.
Prevalence and Sequelae of Computer Vision Syndrome in Egyptian Universities
ClinicalTrials.gov study NCT05187221. IPD Sharing: YES. Countries: 1. Publications: 0.
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli
ClinicalTrials.gov study NCT05606575. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning
ClinicalTrials.gov study NCT04738552. IPD Sharing: NO. Countries: 1. Publications: 0.
Image Data Collection Using a Multi-spectral Camera for Computer Vision Algorithms Research and Development
ClinicalTrials.gov study NCT05674149. IPD Sharing: NO. Countries: 1. Publications: 0.
Tendency to Suicide as a Sequel of Computer Vision Syndrome
ClinicalTrials.gov study NCT05699057. IPD Sharing: YES. Countries: 1. Publications: 0.
Effects of CROCUVIS+® on Computer Vision Syndrome, Sleep and Mood Disorders
ClinicalTrials.gov study NCT05211063. IPD Sharing: NO. Countries: 1. Publications: 0.
Computer Vision Syndrome Visual Sequelae
ClinicalTrials.gov study NCT04398212. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
ClinicalTrials.gov study NCT04489992. IPD Sharing: NO. Countries: 1. Publications: 0.
A Comparison of Computer Vision Based Approach vs. Dual Energy X-ray Absorptiometry Scan to Measure Body Fat Percentage
ClinicalTrials.gov study NCT04563637. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.