Changes
On December 3, 2024 at 9:59:06 AM UTC,
admin:
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Changed title to Mvtec AD (previously MVTec-AD)
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Set author of Mvtec AD to Pierluigi Zama Ramirez (previously Michael Mesarcika)
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Updated description of Mvtec AD from
The MVTec-AD dataset is a collection of 128x128 grayscale images of industrial anomalies.
toA comprehensive real-world dataset for unsupervised anomaly detection.
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Removed the following tags from Mvtec AD
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Added tag unsupervised learning to Mvtec AD
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Changed value of field
defined_in
to in Mvtec AD -
Changed value of field
extra_authors
to[{'extra_author': 'Giuseppe Lisanti', 'orcid': ''}, {'extra_author': 'Luigi Di Stefano', 'orcid': ''}]
in Mvtec AD -
Changed value of field
citation
to[]
in Mvtec AD -
Deleted resource Original Metadata from Mvtec AD
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Michael Mesarcika", | n | 3 | "author": "Pierluigi Zama Ramirez", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| n | 5 | "citation": [ | n | 5 | "citation": [], |
| 6 | "https://doi.org/10.48550/arXiv.2407.00626", | ||||
| 7 | "https://doi.org/10.1016/j.array.2022.100182" | ||||
| 8 | ], | ||||
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| 12 | "doi_date_published": "2024-12-02", | 9 | "doi_date_published": "2024-12-02", | ||
| 13 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
| 14 | "doi_status": true, | 11 | "doi_status": true, | ||
| 15 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
| 16 | "extra_authors": [ | 13 | "extra_authors": [ | ||
| 17 | { | 14 | { | ||
| n | 18 | "extra_author": "Elena Ranguelova", | n | 15 | "extra_author": "Giuseppe Lisanti", |
| 19 | "orcid": "" | 16 | "orcid": "" | ||
| 20 | }, | 17 | }, | ||
| 21 | { | 18 | { | ||
| n | 22 | "extra_author": "Albert-Jan Boonstra", | n | 19 | "extra_author": "Luigi Di Stefano", |
| 23 | "orcid": "" | ||||
| 24 | }, | ||||
| 25 | { | ||||
| 26 | "extra_author": "Rob V. van Nieuwpoort", | ||||
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| 28 | } | 21 | } | ||
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| 30 | "groups": [ | 23 | "groups": [ | ||
| 31 | { | 24 | { | ||
| 32 | "description": "", | 25 | "description": "", | ||
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| 36 | "name": "anomaly-detection", | 29 | "name": "anomaly-detection", | ||
| 37 | "title": "Anomaly Detection" | 30 | "title": "Anomaly Detection" | ||
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| 53 | "metadata_created": "2024-12-02T17:52:10.070706", | 38 | "metadata_created": "2024-12-02T17:52:10.070706", | ||
| n | 54 | "metadata_modified": "2024-12-02T17:52:10.401342", | n | 39 | "metadata_modified": "2024-12-03T09:59:05.308499", |
| 55 | "name": "mvtec-ad", | 40 | "name": "mvtec-ad", | ||
| n | 56 | "notes": "The MVTec-AD dataset is a collection of 128x128 grayscale | n | 41 | "notes": "A comprehensive real-world dataset for unsupervised |
| 57 | images of industrial anomalies.", | 42 | anomaly detection.", | ||
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| 59 | "num_tags": 7, | 44 | "num_tags": 2, | ||
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| 61 | "approval_status": "approved", | 46 | "approval_status": "approved", | ||
| 62 | "created": "2024-11-25T12:11:38.292601", | 47 | "created": "2024-11-25T12:11:38.292601", | ||
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| 65 | "image_url": "", | 50 | "image_url": "", | ||
| 66 | "is_organization": true, | 51 | "is_organization": true, | ||
| 67 | "name": "no-organization", | 52 | "name": "no-organization", | ||
| 68 | "state": "active", | 53 | "state": "active", | ||
| 69 | "title": "No Organization", | 54 | "title": "No Organization", | ||
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| 72 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 57 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
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| 75 | "relationships_as_subject": [], | 60 | "relationships_as_subject": [], | ||
| n | 76 | "resources": [ | n | 61 | "resources": [], |
| 77 | { | ||||
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| 79 | "cache_url": null, | ||||
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| 82 | "dcterms:title", | ||||
| 83 | "dcterms:accessRights", | ||||
| 84 | "dcterms:creator", | ||||
| 85 | "dcterms:description", | ||||
| 86 | "dcterms:issued", | ||||
| 87 | "dcterms:language", | ||||
| 88 | "dcterms:identifier", | ||||
| 89 | "dcat:theme", | ||||
| 90 | "dcterms:type", | ||||
| 91 | "dcat:keyword", | ||||
| 92 | "dcat:landingPage", | ||||
| 93 | "dcterms:hasVersion", | ||||
| 94 | "dcterms:format", | ||||
| 95 | "mls:task", | ||||
| 96 | "datacite:isDescribedBy" | ||||
| 97 | ], | ||||
| 98 | "description": "The json representation of the dataset with its | ||||
| 99 | distributions based on DCAT.", | ||||
| 100 | "format": "JSON", | ||||
| 101 | "hash": "", | ||||
| 102 | "id": "015a1a84-d479-44fd-9ef4-8c796d4fb971", | ||||
| 103 | "last_modified": "2024-12-02T17:52:10.393641", | ||||
| 104 | "metadata_modified": "2024-12-02T17:52:10.404308", | ||||
| 105 | "mimetype": "application/json", | ||||
| 106 | "mimetype_inner": null, | ||||
| 107 | "name": "Original Metadata", | ||||
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| 111 | "size": 919, | ||||
| 112 | "state": "active", | ||||
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| 114 | resource/015a1a84-d479-44fd-9ef4-8c796d4fb971/download/metadata.json", | ||||
| 115 | "url_type": "upload" | ||||
| 116 | } | ||||
| 117 | ], | ||||
| 118 | "services_used_list": "", | 62 | "services_used_list": "", | ||
| 119 | "state": "active", | 63 | "state": "active", | ||
| 120 | "tags": [ | 64 | "tags": [ | ||
| n | 121 | { | n | ||
| 122 | "display_name": "Anomaly Detection", | ||||
| 123 | "id": "772b074e-4795-4f11-80b4-362b2f8a0dca", | ||||
| 124 | "name": "Anomaly Detection", | ||||
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| 129 | "display_name": "Image Classification", | ||||
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| 149 | { | ||||
| 150 | "display_name": "Unsupervised anomaly detection", | ||||
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| 152 | "name": "Unsupervised anomaly detection", | ||||
| 153 | "state": "active", | ||||
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| 156 | { | 65 | { | ||
| 157 | "display_name": "anomaly detection", | 66 | "display_name": "anomaly detection", | ||
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| 159 | "name": "anomaly detection", | 68 | "name": "anomaly detection", | ||
| 160 | "state": "active", | 69 | "state": "active", | ||
| 161 | "vocabulary_id": null | 70 | "vocabulary_id": null | ||
| 162 | }, | 71 | }, | ||
| 163 | { | 72 | { | ||
| n | 164 | "display_name": "industrial anomalies", | n | 73 | "display_name": "unsupervised learning", |
| 165 | "id": "e2e86579-f39a-49f3-81af-98b30b67e85b", | 74 | "id": "e11856ba-dfb2-4384-b2cb-10b0659b1c02", | ||
| 166 | "name": "industrial anomalies", | 75 | "name": "unsupervised learning", | ||
| 167 | "state": "active", | 76 | "state": "active", | ||
| 168 | "vocabulary_id": null | 77 | "vocabulary_id": null | ||
| 169 | } | 78 | } | ||
| 170 | ], | 79 | ], | ||
| t | 171 | "title": "MVTec-AD", | t | 80 | "title": "Mvtec AD", |
| 172 | "type": "dataset", | 81 | "type": "dataset", | ||
| 173 | "version": "" | 82 | "version": "" | ||
| 174 | } | 83 | } |