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n | "author": "Akshay Balsubramani", | n | "author": "Arman Kazemi", |
| "author_email": "", | | "author_email": "", |
n | "citation": [], | n | "citation": [ |
| | | "https://doi.org/10.48550/arXiv.1711.02679", |
| | | "https://doi.org/10.48550/arXiv.2005.08482", |
| | | "https://doi.org/10.48550/arXiv.2103.00694" |
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n | "defined_in": "https://doi.org/10.48550/arXiv.1611.02268", | n | "defined_in": "https://doi.org/10.48550/arXiv.2011.07095", |
| "doi": "10.57702/jp2k7lbz", | | "doi": "10.57702/jp2k7lbz", |
| "doi_date_published": "2024-12-02", | | "doi_date_published": "2024-12-02", |
| "doi_publisher": "TIB", | | "doi_publisher": "TIB", |
| "doi_status": true, | | "doi_status": true, |
| "domain": "https://service.tib.eu/ldmservice", | | "domain": "https://service.tib.eu/ldmservice", |
| "extra_authors": [ | | "extra_authors": [ |
| { | | { |
n | | n | "extra_author": "Mohammad Mehdi Shari", |
| | | "orcid": "" |
| | | }, |
| | | { |
| "extra_author": "Yoav Freund", | | "extra_author": "Ann Franchesca Laguna", |
| | | "orcid": "" |
| | | }, |
| | | { |
| | | "extra_author": "Franz M\u00a8uller", |
| | | "orcid": "" |
| | | }, |
| | | { |
| | | "extra_author": "Ramin Rajaei", |
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| | | }, |
| | | { |
| | | "extra_author": "Ricardo Olivo", |
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| | | }, |
| | | { |
| | | "extra_author": "Thomas K\u00a8ampfe", |
| | | "orcid": "" |
| | | }, |
| | | { |
| | | "extra_author": "Michael Niemier", |
| | | "orcid": "" |
| | | }, |
| | | { |
| | | "extra_author": "X. Sharon Hu", |
| "orcid": "" | | "orcid": "" |
| } | | } |
| ], | | ], |
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| "title": "Character Recognition" | | "title": "Character Recognition" |
n | | n | }, |
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| | | "name": "computer-vision", |
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| | | "name": "handwritten-character-recognition", |
| | | "title": "Handwritten Character Recognition" |
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| | | "name": "image-clustering", |
| | | "title": "Image Clustering" |
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n | "landing_page": "https://github.com/omniglot/Omniglot", | n | "landing_page": "https://www.omniglot.com/omniglot/datasets.html", |
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| "metadata_created": "2024-12-02T17:41:47.643568", | | "metadata_created": "2024-12-02T17:41:47.643568", |
n | "metadata_modified": "2024-12-02T17:41:47.989475", | n | "metadata_modified": "2024-12-02T23:08:43.700285", |
| "name": "omniglot-dataset", | | "name": "omniglot-dataset", |
n | "notes": "The dataset used in this paper is an Omniglot dataset, | n | "notes": "The Omniglot dataset consists of 100 classes, each |
| which is a dataset of handwritten characters.", | | containing 20 images. Ten images were taken from each class for |
| | | augmentation, and the rest were used as the test set. Each image can |
| | | generate 2004 new images by the ND-MLS method, so 2 million images |
| | | were used for the training model.", |
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| "num_tags": 3, | | "num_tags": 9, |
| "organization": { | | "organization": { |
| "approval_status": "approved", | | "approval_status": "approved", |
| "created": "2024-11-25T12:11:38.292601", | | "created": "2024-11-25T12:11:38.292601", |
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| "state": "active", | | "state": "active", |
| "title": "No Organization", | | "title": "No Organization", |
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| "private": false, | | "private": false, |
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| "relationships_as_subject": [], | | "relationships_as_subject": [], |
n | "resources": [ | n | "resources": [], |
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| "created": "2024-12-02T18:38:42", | | |
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| "description": "The json representation of the dataset with its | | |
| distributions based on DCAT.", | | |
| "format": "JSON", | | |
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| } | | |
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| "state": "active", | | "state": "active", |
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n | "display_name": "Character Recognition", | n | "display_name": "Computer Vision", |
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t | "title": "Omniglot Dataset", | t | "title": "Omniglot dataset", |
| "type": "dataset", | | "type": "dataset", |
| "version": "" | | "version": "" |
| } | | } |