Changes
On December 2, 2024 at 6:11:14 PM UTC,
admin:
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Changed value of field
doi_status
toTrue
in ResNet50 -
Changed value of field
doi_date_published
to2024-12-02
in ResNet50 -
Added resource Original Metadata to ResNet50
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "AmirAli Abdolrashidi", | 3 | "author": "AmirAli Abdolrashidi", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2312.13754", | 6 | "https://doi.org/10.48550/arXiv.2312.13754", | ||
| 7 | "https://doi.org/10.48550/arXiv.2008.11675" | 7 | "https://doi.org/10.48550/arXiv.2008.11675" | ||
| 8 | ], | 8 | ], | ||
| 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 10 | "defined_in": "https://doi.org/10.48550/arXiv.1910.10651", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.1910.10651", | ||
| 11 | "doi": "10.57702/9vkr2gdd", | 11 | "doi": "10.57702/9vkr2gdd", | ||
| n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-02", |
| 13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
| n | 14 | "doi_status": false, | n | 14 | "doi_status": true, |
| 15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
| 16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
| 17 | { | 17 | { | ||
| 18 | "extra_author": "Lisa Wang", | 18 | "extra_author": "Lisa Wang", | ||
| 19 | "orcid": "" | 19 | "orcid": "" | ||
| 20 | }, | 20 | }, | ||
| 21 | { | 21 | { | ||
| 22 | "extra_author": "Shivani Agrawal", | 22 | "extra_author": "Shivani Agrawal", | ||
| 23 | "orcid": "" | 23 | "orcid": "" | ||
| 24 | }, | 24 | }, | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Jonathan Malmaud", | 26 | "extra_author": "Jonathan Malmaud", | ||
| 27 | "orcid": "" | 27 | "orcid": "" | ||
| 28 | }, | 28 | }, | ||
| 29 | { | 29 | { | ||
| 30 | "extra_author": "Oleg Rybakov", | 30 | "extra_author": "Oleg Rybakov", | ||
| 31 | "orcid": "" | 31 | "orcid": "" | ||
| 32 | }, | 32 | }, | ||
| 33 | { | 33 | { | ||
| 34 | "extra_author": "Chas Leichner", | 34 | "extra_author": "Chas Leichner", | ||
| 35 | "orcid": "" | 35 | "orcid": "" | ||
| 36 | }, | 36 | }, | ||
| 37 | { | 37 | { | ||
| 38 | "extra_author": "Lukasz Lew", | 38 | "extra_author": "Lukasz Lew", | ||
| 39 | "orcid": "" | 39 | "orcid": "" | ||
| 40 | } | 40 | } | ||
| 41 | ], | 41 | ], | ||
| 42 | "groups": [ | 42 | "groups": [ | ||
| 43 | { | 43 | { | ||
| 44 | "description": "", | 44 | "description": "", | ||
| 45 | "display_name": "Computer Vision", | 45 | "display_name": "Computer Vision", | ||
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| 47 | "image_display_url": "", | 47 | "image_display_url": "", | ||
| 48 | "name": "computer-vision", | 48 | "name": "computer-vision", | ||
| 49 | "title": "Computer Vision" | 49 | "title": "Computer Vision" | ||
| 50 | }, | 50 | }, | ||
| 51 | { | 51 | { | ||
| 52 | "description": "", | 52 | "description": "", | ||
| 53 | "display_name": "Image Classification", | 53 | "display_name": "Image Classification", | ||
| 54 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | 54 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||
| 55 | "image_display_url": "", | 55 | "image_display_url": "", | ||
| 56 | "name": "image-classification", | 56 | "name": "image-classification", | ||
| 57 | "title": "Image Classification" | 57 | "title": "Image Classification" | ||
| 58 | } | 58 | } | ||
| 59 | ], | 59 | ], | ||
| 60 | "id": "0414a412-7a61-4b5d-81e4-e8a395a69757", | 60 | "id": "0414a412-7a61-4b5d-81e4-e8a395a69757", | ||
| 61 | "isopen": false, | 61 | "isopen": false, | ||
| 62 | "landing_page": | 62 | "landing_page": | ||
| 63 | "https://github.com/google-research/google-research/tree/master/aqt", | 63 | "https://github.com/google-research/google-research/tree/master/aqt", | ||
| 64 | "license_title": null, | 64 | "license_title": null, | ||
| 65 | "link_orkg": "", | 65 | "link_orkg": "", | ||
| 66 | "metadata_created": "2024-12-02T18:11:13.457154", | 66 | "metadata_created": "2024-12-02T18:11:13.457154", | ||
| n | 67 | "metadata_modified": "2024-12-02T18:11:13.457159", | n | 67 | "metadata_modified": "2024-12-02T18:11:13.804124", |
| 68 | "name": "resnet50", | 68 | "name": "resnet50", | ||
| 69 | "notes": "The dataset used in this paper is a ResNet50 model, which | 69 | "notes": "The dataset used in this paper is a ResNet50 model, which | ||
| 70 | is a convolutional neural network. The model is used to evaluate the | 70 | is a convolutional neural network. The model is used to evaluate the | ||
| 71 | effects of quantization on the compute cost-quality tradeoff curves.", | 71 | effects of quantization on the compute cost-quality tradeoff curves.", | ||
| n | 72 | "num_resources": 0, | n | 72 | "num_resources": 1, |
| 73 | "num_tags": 11, | 73 | "num_tags": 11, | ||
| 74 | "organization": { | 74 | "organization": { | ||
| 75 | "approval_status": "approved", | 75 | "approval_status": "approved", | ||
| 76 | "created": "2024-11-25T12:11:38.292601", | 76 | "created": "2024-11-25T12:11:38.292601", | ||
| 77 | "description": "", | 77 | "description": "", | ||
| 78 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 78 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 79 | "image_url": "", | 79 | "image_url": "", | ||
| 80 | "is_organization": true, | 80 | "is_organization": true, | ||
| 81 | "name": "no-organization", | 81 | "name": "no-organization", | ||
| 82 | "state": "active", | 82 | "state": "active", | ||
| 83 | "title": "No Organization", | 83 | "title": "No Organization", | ||
| 84 | "type": "organization" | 84 | "type": "organization" | ||
| 85 | }, | 85 | }, | ||
| 86 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 86 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 87 | "private": false, | 87 | "private": false, | ||
| 88 | "relationships_as_object": [], | 88 | "relationships_as_object": [], | ||
| 89 | "relationships_as_subject": [], | 89 | "relationships_as_subject": [], | ||
| t | 90 | "resources": [], | t | 90 | "resources": [ |
| 91 | { | ||||
| 92 | "cache_last_updated": null, | ||||
| 93 | "cache_url": null, | ||||
| 94 | "created": "2024-12-02T18:38:42", | ||||
| 95 | "data": [ | ||||
| 96 | "dcterms:title", | ||||
| 97 | "dcterms:accessRights", | ||||
| 98 | "dcterms:creator", | ||||
| 99 | "dcterms:description", | ||||
| 100 | "dcterms:issued", | ||||
| 101 | "dcterms:language", | ||||
| 102 | "dcterms:identifier", | ||||
| 103 | "dcat:theme", | ||||
| 104 | "dcterms:type", | ||||
| 105 | "dcat:keyword", | ||||
| 106 | "dcat:landingPage", | ||||
| 107 | "dcterms:hasVersion", | ||||
| 108 | "dcterms:format", | ||||
| 109 | "mls:task", | ||||
| 110 | "datacite:isDescribedBy" | ||||
| 111 | ], | ||||
| 112 | "description": "The json representation of the dataset with its | ||||
| 113 | distributions based on DCAT.", | ||||
| 114 | "format": "JSON", | ||||
| 115 | "hash": "", | ||||
| 116 | "id": "e7243b76-3e2a-4038-a2ef-4d840aa6188e", | ||||
| 117 | "last_modified": "2024-12-02T18:11:13.795030", | ||||
| 118 | "metadata_modified": "2024-12-02T18:11:13.806998", | ||||
| 119 | "mimetype": "application/json", | ||||
| 120 | "mimetype_inner": null, | ||||
| 121 | "name": "Original Metadata", | ||||
| 122 | "package_id": "0414a412-7a61-4b5d-81e4-e8a395a69757", | ||||
| 123 | "position": 0, | ||||
| 124 | "resource_type": null, | ||||
| 125 | "size": 1145, | ||||
| 126 | "state": "active", | ||||
| 127 | "url": | ||||
| 128 | resource/e7243b76-3e2a-4038-a2ef-4d840aa6188e/download/metadata.json", | ||||
| 129 | "url_type": "upload" | ||||
| 130 | } | ||||
| 131 | ], | ||||
| 91 | "services_used_list": "", | 132 | "services_used_list": "", | ||
| 92 | "state": "active", | 133 | "state": "active", | ||
| 93 | "tags": [ | 134 | "tags": [ | ||
| 94 | { | 135 | { | ||
| 95 | "display_name": "Computer Vision", | 136 | "display_name": "Computer Vision", | ||
| 96 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | 137 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||
| 97 | "name": "Computer Vision", | 138 | "name": "Computer Vision", | ||
| 98 | "state": "active", | 139 | "state": "active", | ||
| 99 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
| 100 | }, | 141 | }, | ||
| 101 | { | 142 | { | ||
| 102 | "display_name": "Deep Learning", | 143 | "display_name": "Deep Learning", | ||
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| 104 | "name": "Deep Learning", | 145 | "name": "Deep Learning", | ||
| 105 | "state": "active", | 146 | "state": "active", | ||
| 106 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
| 107 | }, | 148 | }, | ||
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| 109 | "display_name": "Image Classification", | 150 | "display_name": "Image Classification", | ||
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| 114 | }, | 155 | }, | ||
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| 120 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
| 121 | }, | 162 | }, | ||
| 122 | { | 163 | { | ||
| 123 | "display_name": "Image segmentation", | 164 | "display_name": "Image segmentation", | ||
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| 125 | "name": "Image segmentation", | 166 | "name": "Image segmentation", | ||
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| 127 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
| 128 | }, | 169 | }, | ||
| 129 | { | 170 | { | ||
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| 134 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
| 135 | }, | 176 | }, | ||
| 136 | { | 177 | { | ||
| 137 | "display_name": "Quantization", | 178 | "display_name": "Quantization", | ||
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| 141 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
| 142 | }, | 183 | }, | ||
| 143 | { | 184 | { | ||
| 144 | "display_name": "ResNet", | 185 | "display_name": "ResNet", | ||
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| 146 | "name": "ResNet", | 187 | "name": "ResNet", | ||
| 147 | "state": "active", | 188 | "state": "active", | ||
| 148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
| 149 | }, | 190 | }, | ||
| 150 | { | 191 | { | ||
| 151 | "display_name": "ResNet50", | 192 | "display_name": "ResNet50", | ||
| 152 | "id": "024f0c40-695d-4cf0-a654-3583e1248688", | 193 | "id": "024f0c40-695d-4cf0-a654-3583e1248688", | ||
| 153 | "name": "ResNet50", | 194 | "name": "ResNet50", | ||
| 154 | "state": "active", | 195 | "state": "active", | ||
| 155 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
| 156 | }, | 197 | }, | ||
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| 160 | "name": "deep learning", | 201 | "name": "deep learning", | ||
| 161 | "state": "active", | 202 | "state": "active", | ||
| 162 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
| 163 | }, | 204 | }, | ||
| 164 | { | 205 | { | ||
| 165 | "display_name": "image classification", | 206 | "display_name": "image classification", | ||
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| 167 | "name": "image classification", | 208 | "name": "image classification", | ||
| 168 | "state": "active", | 209 | "state": "active", | ||
| 169 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
| 170 | } | 211 | } | ||
| 171 | ], | 212 | ], | ||
| 172 | "title": "ResNet50", | 213 | "title": "ResNet50", | ||
| 173 | "type": "dataset", | 214 | "type": "dataset", | ||
| 174 | "version": "" | 215 | "version": "" | ||
| 175 | } | 216 | } |