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5 results for “monopoly”
Dataset: Themes Natural Monopoly ETF (CZAR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Object Tracking on a Monopoly Game Board
<p><strong>Object Tracking on a Monopoly Game Board</strong></p> <p><strong>Author:</strong> Nathan Hoebeke</p> <p><strong>Supervisors:</strong> Maxim Van de Wynckel, Prof. Dr. Beat Signer</p> <p><strong>About</strong></p> <p>The goal of this dataset was to track game pieces on the physical game board of Monopoly. We make use of object classification where our training data consists of 100 pictures (taken at an angle) of the game board in order to classify the individual (moving) pieces. The training dataset was on the 9th of April 2023 and the test date recorded on the 7th of May 2023 using an iPhone 13 mini and iPhone 12.</p> <p>Two participants played a game of Monopoly and each individually took pictures of the current game state after every move. These images were then processed by our application to determine the location of pawns and other game pieces such as the red and green houses.</p> <p>Raw images are unprocessed but may have minor edits to ensure anonymisation of participants in the background. We used <a href="https://roboflow.com/">Roboflow</a> to label and train our dataset which is included in this repository.</p> <p>For more information about our processing and this dataset you can download the full Bachelor thesis here: <a href="https://wise.vub.ac.be/thesis/location-tracking-physical-game-board">https://wise.vub.ac.be/thesis/location-tracking-physical-game-board</a> (download link available after embargo at the end of the academic year)</p> <p>This dataset was published as part of the bachelor thesis: <em>Location Tracking on a Physical Game Board</em> for obtaining the degree of Bachelor in Computer Sciences at the <a href="https://vub.be">Vrije Universiteit Brussel</a>.</p> <p><strong>Data</strong></p> <table> <thead> <tr> <th>Data</th> <th>Pictures</th> <th>Device</th> </tr> </thead> <tbody> <tr> <td><strong>Training</strong></td> <td>213</td> <td>iPhone 13 mini</td> </tr> <tr> <td><strong>Test #1</strong></td> <td>102</td> <td>iPhone 12</td> </tr> <tr> <td><strong>Test #2</strong></td> <td>93</td> <td>iPhone 13 mini</td> </tr> </tbody> </table> <p><strong>Dataset contents</strong></p> <ul> <li><code>model</code>: Trained YOLOv5 model with labels. This dataset can also be found <a href="https://universe.roboflow.com/vub-vsmjx/boardgamedetection">here</a>.</li> <li><code>train</code>: Training data made by the author. <ul> <li><code>raw</code>: Raw pictures of the game board at various states. <ul> <li><code>GAME_2023-04-09_<HH>-<MM>-<SS>.jpg</code>: Images formatted based on the date and time when they were captured.</li> </ul> </li> <li><code>processed</code>: Processed pictures with perspective transformation applied. <ul> <li><code>canvas<X>.png</code>: (Pre)-processed image.</li> </ul> </li> </ul> </li> <li><code>test</code>: Test data made by indepedent participants. <ul> <li><code>participant_1</code>: Participant 1 data <ul> <li><code>raw</code>: Raw pictures of the game board taken by the parcipant after every move. <ul> <li><code>GAME_2023-05-07_<HH>-<MM>-<SS>.jpg</code>: Images formatted based on the date and time when they were captured.</li> </ul> </li> <li><code>processed</code>: Processed pictures with perspective transformation applied. Yellow rectangles are included when our own algorithm was able to determine the location. <ul> <li><code>canvas<X>.png</code>: Processed image.</li> </ul> </li> </ul> </li> <li><code>participant_2</code>: Participant 2 data <ul> <li><code>raw</code>: Raw pictures of the game board taken by the parcipant after every move. <ul> <li><code>GAME_2023-05-07_<HH>-<MM>-<SS>.jpg</code>: Images formatted based on the date and time when they were captured.</li> </ul> </li> </ul> </li> </ul> </li> <li><code>README.md</code>: Documentation and information about the dataset.</li> </ul> <p><strong>License</strong></p> <p>This license applies to the dataset for the game Monopoly. Any artwork or intellectual property from the game that is captured by this dataset is property of Hasbro, Inc.</p> <p>Copyright 2022-2023 Nathan Hoebeke, Beat Signer, Maxim Van de Wynckel, Vrije Universiteit Brussel</p> <p>Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the “Dataset”), to deal in the Dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Dataset, and to permit persons to whom the Dataset is furnished to do so, subject to the following conditions:</p> <p>The above copyright notice and this permission notice shall be included in all copies or substantial portions that make use of the Dataset.</p> <p>THE DATASET IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE DATASET.</p>
Influence of Monopoly Game on Subtle Behaviors
ClinicalTrials.gov study NCT02729389. IPD Sharing: NO. Countries: 1. Publications: 2.
Influence of a Monopoly Game on Subtle Behaviors
ClinicalTrials.gov study NCT02470949. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Monopoly
Monopoly is a board game in which players roll two six-sided dice to move around the game board, buying and trading properties, and developing them with houses and hotels. Players collect rent from their opponents, with the goal being to drive them into bankruptcy. Money can also be gained or lost through Chance and Community Chest cards, and tax squares; players can end up in jail, which they cannot move from until they have met one of several conditions. The game has numerous house rules, and hundreds of different editions exist, as well as many spin-offs and related media. Monopoly has become a part of international popular culture, having been licensed locally in more than 103 countries and printed in more than thirty-seven languages. Info Link : https://en.wikipedia.org/wiki/Monopoly_(game) I have a Patreon Join now! :https://www.patreon.com/user?u=14434838 Source: Objaverse 1.0 / Sketchfab
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.