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97 results for “logo”
Q-SORT - Group Photo+Logo
<p>Q-SORT and DIP projects held an international conference on electron beam shaping in Jülich (Germany) - Group photo 1 + Logo (overlaid)</p>
Updated TOPSTSCHOOL Logos
<p>We have updated the logos for the TOPSTSCHOOL project. Check out the project here: <a href="https://ciesin-geospatial.github.io/TOPSTSCHOOL/" target="_blank" rel="noopener">https://ciesin-geospatial.github.io/TOPSTSCHOOL/</a></p>
Official logo of the H2020 Project In Silico World
<p>Official logo of the H2020 Project In Silico World</p> <p> </p>
Label2Enable_logo
Open the record for dataset details and reuse information.
LOGOS Data from the Database of Cross-Linguistic Colexifications (Version 1.0)
<p>Cite the source of the dataset as:</p> <blockquote> <p>List, Johann-Mattis, Thomas Mayer, Anselm Terhalle, and Matthias Urban (2014). CLICS: Database of Cross-Linguistic Colexifications. Marburg: Forschungszentrum Deutscher Sprachatlas (Version 1.0).</p> </blockquote>
HyTunnel-CS logo
<p>Logo</p>
REMARKABLE logo
<p>Logo for the REMARKABLE project (Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated Learning), funded by the European Commission under HORIZON-MSCA-2021-SE-01 – Staff Exchanges programme, with grant agreement number <span>101086387.</span></p>
Logo
<p>Logo - the Environmental Data Science Book</p>
The Large Labelled Logo Dataset (L3D)
<p>Public release of the dataset from the paper: "The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset"</p> <p>More information: <a href="https://github.com/lhf-labs/tm-dataset">https://github.com/lhf-labs/tm-dataset</a></p> <p>Citing:</p> <pre><code>@misc{gutierrezfandino2021L3D, title={The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset}, author={Asier Gutiérrez-Fandiño and David Pérez-Fernández and Jordi Armengol-Estapé}, year={2021}, eprint={2112.05404}, archivePrefix={arXiv}, primaryClass={cs.CV} }</code></pre> <p> </p>
Logo of Historical Archive Aspra Spitia
<p>Logo of the digital community Aspra Spitia.<br> Historical archive from collections of the residents of Aspra Spitia, Antikyra and the people of the hellenic aluminium industry.</p> <p> </p> <p>Λογότυπο της ψηφιακής κοινότητας Άσπρα Σπίτια.<br> Ιστορικό αρχείο από συλλογές των κατοίκων των Άσπρων Σπιτιών, της Αντίκυρας και των ανθρώπων της ελληνικής βιομηχανίας αλουμινίου.</p>
ePIC logo (black) - large and small
<p>This is the most popular version of the ePIC logo, in black. Large and small versions included.</p> <p> </p>
Figure 8. The end-to-end operations in Logo-DM-Modern Tools in Patient-Centred Speech Therapy for Romanian Language
<p>The useful data mining tasks for speech therapy fall into three categories: classification, clustering, and association rules. Classification places children with different speech impairments in predefined classes, and makes possible to track the characteristics of various groups. To model different classes we use many predictor variables (e.g. personal or familial anamnesis data or related to lifestyle). By clustering we group people with speech disorders on the basis of similarity of different features. This helps therapists to understand their patients. Clustering aims to find subsets of a predetermined segment, with homogeneous behavior towards various methods of therapy that can be effectively targeted by a specific therapy, but it is not based on the previous definition of groups (Danubianu, Tobolcea, & Pentiuc, 2009). Association rules aim to find out relationships between different data which seem to have no semantic dependence. The built patterns might be very useful to determine why a specific therapy program has been successful on a segment of patients with speech disorders, and on the other was ineffective. The Logo-DM system was designed to help the speech therapists to optimize the personalized therapy of dyslalia. To understand what kind of knowledge we could discover in TERAPERS’ dataset to improve speech therapy, we have to describe the collected data.</p>
InVID TV Logo Dataset v2.0
<p>This dataset was created with the purpose of providing a training and evaluation benchmark for TV logo detection in videos. It contains the results from the segmentation and annotation of 2,749 YouTube videos originating from a large number of news TV channels, The videos have been annotated with respect to the TV channel logos they contain -specifically, by the name of the organization to which the logo belongs- and with shot boundary information. Furthermore, a set of logo templates has been extracted from the videos and organized alongside the corresponding channel information.</p> <p>As we do not own the rights to the videos, the dataset only contains the YouTube video IDs alongside the corresponding annotations. It further contains 503 logo template files and the corresponding metadata information (channel name, wikipedia link). See the README file for details.</p> <p>This is the second version of the dataset, including various corrections in annotation.</p>
Mugla Sitki Koçman University Green Campus Logo and Amblem
<p>Three figures (two amblem and a logo) were digitally drawn by Feray Koca for Sustainable Green Campus website of Mugla Sitki Koçman University.</p>
C4Yourself logo
<p>Logo for the project Citizen Centred and Controlled COVID-19 data for reuse (C4Yourself). <br> This collaboration project is co-financed by the PPP allowance that Health~Holland, Top Sector Life Sciences & Health, makes available to stimulate public-private partnerships (https:/ / www.health-holland.com).</p>
CryoCloud logo
<p>Logo for the NASA CryoCloud project for cloud-computing</p>
NGI Explorers Logo
<p>H2020 Project NGI Explorers Logo</p>
Probe Trace _ Logo
<p>Project's logo in 3 different file format: Microsoft Word Object format, Image (Enhanced Metafile), Image (PNG)</p>
Superman logo
What can I say... I have a big picture of Superman in my room to remember me who I am. And well my name starts with a "S" Source: Objaverse 1.0 / Sketchfab
Skyrim logo
Очередная попытка превзойти самого себя :D pls like if u download it c: Source: Objaverse 1.0 / Sketchfab
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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.