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23
datasets available to search
ShareScore release 0.9.0
Dataset results
23 results for “Vehicle Detection”
In-Vehicle Real-Time Cannabis Influenced Driving Detection
ClinicalTrials.gov study NCT07401628. IPD Sharing: NO. Countries: 1. Publications: 0.
Design and Evaluation of an In-Vehicle Real-Time Drunk Driving Detection System
ClinicalTrials.gov study NCT05796609. IPD Sharing: NO. Countries: 1. Publications: 0.
in-Vehicle Face Presentation Attack Detection (VFPAD)
<p><strong>Description</strong></p> <p>The in-Vehicle Face Presentation Attack Detection (VFPAD) dataset consists of 4046 bona-fide recordings from 40 subjects, and 1790 attack presentation videos from a total of 89 PAIs (presentation attack instruments). These presentations have been captured using an NIR camera (940 nm) placed on the steering wheel of the car, while NIR illuminators have been fixed on both front pillars (adjacent to the wind-shield) of the car. The bona-fide videos represent 24 male and 16 female subjects of various ethnicities. The PAI species used to construct this dataset include photo-prints, digital displays (for replay attacks), rigid 3D masks, and flexible 3D masks made of silicone.</p> <p> </p> <p><strong>Data Collection</strong></p> <p>The videos comprising this dataset represent bona-fide and attack presentations under a range of variations:</p> <ul> <li>Environmental variations: presentations have been recorded in four sessions, each under different environmental conditions (outdoor sunny; outdoor cloudy; indoor dimly-lit; and indoor brightly-lit)</li> <li>Different scenarios: bona-fide presentations for each subject have been captured with variety of appearances: with/without glasses, with/without hat, etc.</li> <li>Illumination variations: two illumination conditions have been used: ‘uniform’ (both NIR illuminators switched on), and ‘non-uniform’ (only the left NIR-illuminator switched on), and</li> <li>Pose variations: two poses (‘angles’) have been used: ‘front’: the subject looks ahead at the road; and ‘below’: subject looks straight into the camera.</li> </ul> <p> </p> <p><strong>Citation</strong></p> <p>If you use the dataset, please cite the following publication:</p> <p>@article{IEEE_TBIOM_2021,<br> author = {Kotwal, Ketan and Bhattacharjee, Sushil and Abbet, Philip and Mostaani, Zohreh and Wei, Huang and Wenkang, Xu and Yaxi, Zhao and Marcel, S\'{e}bastien},<br> title = {Domain-Specific Adaptation of CNN for Detecting Face Presentation Attacks in NIR},<br> journal = {IEEE Transactions on Biometrics, Behavior, and Identity Science},<br> publisher = {{IEEE}},<br> year={2022},<br> volume={4},<br> number={1},<br> pages={135--147},<br> doi={10.1109/TBIOM.2022.3143569}<br> }</p>
ScienceDex guides
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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.