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292 results for “coin”
Coin
Source: Objaverse 1.0 / Sketchfab
Pre-Islamic Coin Mold, Mleiha, Sharjah
Pre-Islamic Coin Mold, Mleiha, Sharjah, UAE. On display in the Sharjah Archaeology Authority. 1st-2nd Century CE. Catalog number EXS213. Processed in Reality Capture from 358 images. Source: Objaverse 1.0 / Sketchfab
Coin Box
A box used to save coins. Source: Objaverse 1.0 / Sketchfab
Simple LowPoly Coin
A simple coin model. Low Poly. Made in Blender. Source: Objaverse 1.0 / Sketchfab
Roman Silver Coin, Castilla-La Mancha, Spain
Roman silver coin (denarius). F) Bust of Cibeles on the right, wearing a towered crown and veil; after rising EX.A.PV head. Dot graph B) Victory in biga to the right holding reins in left hand. and whip to the right, underneath appears mark C, tral the bird; exergue C.FABI.C.F. Point graph. from the site of Finca Las Navas, Almadenejos, Castilla-La Mancha, Spain. Roman Age. In the collection of the Ciudad Real Museum. Catalog number DO000339. Processed in Reality Capture from 292 images. Denario_20. Casual archaeological find. Citation: A. Canto García (1987): "Sobre un hallazgo de denarios en Almadenejos (Ciudad Real)", in Oretum III, pp. 291-317. " This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Gold Coin
Gold coin with a reflective effect. Source: Objaverse 1.0 / Sketchfab
Coin of the Soviet Union (1978)
Денежная единица: копейка. Номинал: 50. Год выпуска: 1978 год. Материал: медно-никелевый сплав. Гурт: вдавленная надпись «Пятьдесят копеек 1978». Диаметр: 24 мм/Monetary unit: penny. Denomination: 50. Year of issue: 1978. Material: copper-nickel alloy. Edge: embossed inscription "Fifty kopecks 1978". Diameter: 24mm. Source: Objaverse 1.0 / Sketchfab
World War II coin (1944).
Monetary unit: penny. Denomination: 10. Year of issue: 1944. Material: cupronickel. Edge: ribbed. Diameter: 17.27mm. Thickness: 1.1 mm. Weight: 1.8 grams. Монета периода Великой Отечественной войны (1944). Денежная единица: копейка. Номинал: 10. Год выпуска: 1944 год. Материал: мельхиор. Гурт: рубчатый. Диаметр: 17,27 мм. Толщина: 1,1 мм. Вес: 1,8 грамм. Source: Objaverse 1.0 / Sketchfab
Ancient coin
Just another random model. Source: Objaverse 1.0 / Sketchfab
Roman bronze coin, Mleiha, Sharjah
A Roman bronze coin dating from the reign of Emperor Domitian (81- 96AD). Found in Mleiha ML9. Obverse: A bust of the Emperor Domitian wearing a laurel wreath and facing right. The bust is surrounded by the legend: "IMP CAES DOMIT AVG GERM COS XVI CENSPER P P" Reverse: The Goddess Fortuna, holding a Cornucopia of plenty, accompanied by the wording: "FORTUNAE AVGVSTI" Sharjah, UAE. In storage at the Sharjah Archaeology Authority. Catalog number unk. Coin3. Processed in Reality Capture from 249 images. Source: Objaverse 1.0 / Sketchfab
Default Coin Red
Source: Objaverse 1.0 / Sketchfab
Roman Silver Coin, Castilla-La Mancha, Spain
Roman silver coin (denarius). F) Head of Jupiter on the left; graph of points. B) Jupiter in a quadriga to the right; above control mark P; in exergue L.SCIP.ASIAG .; dot graph from the site of Finca Las Navas, Almadenejos, Castilla-La Mancha, Spain. Roman Age. In the collection of the Ciudad Real Museum. Catalog number DO000332. Processed in Reality Capture from 293 images. Denario_7. Casual archaeological find. Citation: A. Canto García (1987): "Sobre un hallazgo de denarios en Almadenejos (Ciudad Real)", in Oretum III, pp. 291-317. This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Pre-Islamic Silver Coin, Mleiha, Sharjah
Pre-Islamic Silver Coin, Mleiha, Sharjah, UAE. in the collection of the Sharjah Archaeology Authority. . Catalog number unk. Processed in Reality Capture from 244 images. GDH ID Silvercoin 12 Source: Objaverse 1.0 / Sketchfab
Coin
This is a fabulous coin! Perfect for any project Source: Objaverse 1.0 / Sketchfab
Coin Meter Glow B
Source: Objaverse 1.0 / Sketchfab
Pre-Islamic Silver Coin, Mleiha, Sharjah
Pre-Islamic Silver Coin, Mleiha, Sharjah, UAE. in the collection of the Sharjah Archaeology Authority. . Catalog number unk. Processed in Reality Capture from 000 images. GDH ID Silvercoin 3 Source: Objaverse 1.0 / Sketchfab
Pre-Islamic Bronze Coin, Mleiha, Sharjah
Pre-Islamic Bronze Coin, Mleiha, Sharjah, UAE. In storage in the Sharjah Archaeology Authority. 1st C BCE - 1st C CE. Catalog number unk. Processed in Reality Capture from 425 images. Bronze_Coin8. "1st century BC - 1st century AD. copper Tetradrachm (12g.)– Obverse: smooth and lightly rounded side. – Reverse: extremely schematic representation of Shamash sitting on the left on a stool, with paralleled legs. In his left hand he holds a long sceptre and in his right hand an eagle . On the right side, vertically few spears and a ring recalling a (Greek?) inscription. Behind the head of the character, a ring. In front of him, on the left side, a big south-Arabic shin." Source: Objaverse 1.0 / Sketchfab
Simulated (fair and unfair) coin tosses
<p>In this student project it was to be experimentally figured out how<br> fair a fair coin behaves.</p> <p>To achieve this, fair coin tosses with a different number of maximum coin tosses<br> were simulated and it was analyzed how often chains of given lengths of<br> ones/zeros (assumed to be heads/tails) appear and how much more often<br> zeros appear per experiment compared to ones.</p> <p>This maximum number was<br> - 10 tosses per experiment<br> - 100 tosses per experiment<br> - 1.000 tosses per experiment<br> - 10.000 tosses per experiment<br> - 100.000 tosses per experiment<br> - 1.000.000 tosses per experiment<br> - 10.000.000 tosses per experiment<br> - 100.000.000 tosses per experiment<br> - 1.000.000.000 tosses per experiment<br> - 10.000.000.000 tosses per experiment</p> <p>Except for the last three, all experiments were repeated 1.000 times.<br> The 100.000.000 tosses per experiment was repeated 100 times, the 1.000.000.000<br> tosses per experiment was repeated 10 times and the 10.000.000.000 tosses per<br> experiment was NOT repeated.</p> <p>For these one/zero chain distributions the fitting parameters were determined,<br> assuming a geometrical distribution.</p> <p><br> The experiments with up to 100.000.000 tosses per experiment were repeated<br> with an UNFAIR coin, using a Maxwell Boltzmann statistic for the distribution<br> of coin tosses.</p> <p>--------------------------------------------------</p> <p>In the data-folder these experiments are divided into the normal distributed<br> and Maxwell-Boltzmann distributed coin toss experiments.</p> <p>These two folders contain the folders with the data for the different<br> maximum number of coin tosses per experiment.</p> <p>Each of these folders contains two subfolders which contain the distributions<br> of the respective chains of ones or zeros (heads or tails).</p> <p>In this folder (NOT the subfolders!) in addition can be found:<br> - a file with the fitting parameters for each heads/tails-chain-distribution,<br> - a file with an analysis of these fitting parameters,<br> - a file in which it is analyzed how much more often zero was the result of<br> the toss (for one experiment)<br> - a file with an analysis of that,<br> - and two files in which the chain-distributions are summed up.</p> <p>The result for each coin toss in each experiment were NOT saved.</p> <p><br> For the Maxwell Boltzmann distributed coin tosses also the distribution<br> itself was saved for each experiment and can be found in the respective<br> subfolder.</p> <p>--------------------------------------------------</p> <p>In the scripts folder, all the programs can be found that were created<br> to create and analyze all the data.</p> <p>All programs are published as free software under the<br> GNU General Public License version 3 as published by the<br> Free Software Foundation</p> <p>--------------------------------------------------</p> <p>ATTENTION:<br> The .tar.gz-file contains more than 35000 files.<br> It may take a while to extract all the files.</p>
Corpus Nummorum - Coin Image Dataset
<p>Corpus Nummorum - Coin Image Dataset</p><p>This dataset is a collection of ancient coin images from three different sources: the <a href="https://www.corpus-nummorum.eu/">Corpus Nummorum (CN)</a> project, the <a href="https://ikmk.smb.museum/home?lang=en">Münzkabinett Berlin</a> and the <a href="https://www.bnf.fr/fr/departement-monnaies-medailles-antiques">Bibliothèque nationale de France, Département des Monnaies, médailles et antiques</a>. It covers Greek and Roman coins from ancient Thrace, Moesia Inferior, Troad and Mysia. This is a selection of the coins published on the <a href="https://www.corpus-nummorum.eu/search/coins">CN</a> portal (due to copyrights). </p><p>The dataset contains 115,160 images with about 29,000 unique coins. The images are split in three main folders with different assignment of the coins. Each main folder is sorted with the help fo subfolders which hold the coin images. The "dataset_coins" folder contains the coin photos divided into obverse and reverse and arranged by coin types. In the "dataset_types" folder the obverse and reverse image of the coins are concatenated and transformed to a quadratic format with black bars on the top and bottom. The images here are sorted by their coin type. The last folder "dataset_mints" contains the also concatenated images sorted by their mint. An "sources" csv file holds the sources for every image. Due to copyrights the image size is limited to 299*299 pixels. However, this should be sufficient for most ML approaches. </p><p>The main purpose for this dataset in the CN project is the training of Machine Learning based Image Recognition models. We use three different Convolutional Neural Network based architectures: VGG16, VGG19 and ResNet50. Our best model (VGG16) archieves on this dataset a 79% Top-1 and a 97% Top-5 accuracy for the coin type recognition. The mint recognition achieves an 79% Top-1 and 94% Top-5 accuracy. We have a <a href="https://github.com/Frankfurt-BigDataLab/IR-on-coin-datasets">Colab notebook</a> with two models (trained on the whole CN dataset) online.</p><p>During the summer semester 2023, we held the "Data Challenge" event at our Department of Computer Science at the Goethe-University. We gave our students this dataset with the task to achieve better results than us. Here are their experiments:</p><p><a href="https://github.com/Chantalkle/DataChallenge2023">Team 1: Voting and stacking of models</a></p><p><a href="https://github.com/Cappl1/DataChallenge">Team 2: Multimodal model</a></p><p><a href="https://github.com/cr-heidemann/Data-Challenges">Team 3: Transformer models</a></p><p><a href="https://github.com/reinhud/dc_23_new">Team 4: Dockerized TIMM Computer Vision Backend & FastAPI</a></p><ul><li>Approach | Type Dataset | Mint Dataset</li><li>Ours 79% 79%</li><li>Team 1 - 86%</li><li>Team 2 86% -</li><li>Team 3 88% 58%</li><li>Team 4 - -</li></ul><p> </p><p>Now we would like to invite you to try out your own ideas and models on our coin data.</p><p>If you have any questions or suggestions, please, feel free to contact us. </p>
Pre-Islamic Copper Coin, Mleiha, Sharjah
Pre-Islamic Copper Coin, Mleiha, Sharjah, UAE. in the collection of the Sharjah Archaeology Authority. . Catalog number unk. Processed in Reality Capture from 219 images. GDH ID Coppercoin 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
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DANDI Archive for NWB datasets
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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.