Changes
On December 2, 2024 at 6:02:57 PM UTC, admin:
-
Added resource Original Metadata to COCO 2017
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Xinghao Chen", | 3 | "author": "Xinghao Chen", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2312.05803", | 6 | "https://doi.org/10.48550/arXiv.2312.05803", | ||
7 | "https://doi.org/10.48550/arXiv.2304.12406", | 7 | "https://doi.org/10.48550/arXiv.2304.12406", | ||
8 | "https://doi.org/10.48550/arXiv.2111.12166" | 8 | "https://doi.org/10.48550/arXiv.2111.12166" | ||
9 | ], | 9 | ], | ||
10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
11 | "defined_in": "https://doi.org/10.48550/arXiv.2106.02253", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2106.02253", | ||
12 | "doi": "10.57702/4f6szy3g", | 12 | "doi": "10.57702/4f6szy3g", | ||
13 | "doi_date_published": "2024-12-02", | 13 | "doi_date_published": "2024-12-02", | ||
14 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
15 | "doi_status": true, | 15 | "doi_status": true, | ||
16 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
17 | "extra_authors": [ | 17 | "extra_authors": [ | ||
18 | { | 18 | { | ||
19 | "extra_author": "Siwei Li", | 19 | "extra_author": "Siwei Li", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Yijing Yang", | 23 | "extra_author": "Yijing Yang", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Yunhe Wang", | 27 | "extra_author": "Yunhe Wang", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Image Compression", | 34 | "display_name": "Image Compression", | ||
35 | "id": "094941e1-ba8a-4742-a18e-4da139345758", | 35 | "id": "094941e1-ba8a-4742-a18e-4da139345758", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "image-compression", | 37 | "name": "image-compression", | ||
38 | "title": "Image Compression" | 38 | "title": "Image Compression" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Instance Segmentation", | 42 | "display_name": "Instance Segmentation", | ||
43 | "id": "f856527a-3d35-4c73-8c09-bf3f4a3bbb9f", | 43 | "id": "f856527a-3d35-4c73-8c09-bf3f4a3bbb9f", | ||
44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "instance-segmentation", | 45 | "name": "instance-segmentation", | ||
46 | "title": "Instance Segmentation" | 46 | "title": "Instance Segmentation" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Object Detection", | 50 | "display_name": "Object Detection", | ||
51 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 51 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "object-detection", | 53 | "name": "object-detection", | ||
54 | "title": "Object Detection" | 54 | "title": "Object Detection" | ||
55 | } | 55 | } | ||
56 | ], | 56 | ], | ||
57 | "id": "962ebbb8-62cb-408d-8fb6-20135ec881a6", | 57 | "id": "962ebbb8-62cb-408d-8fb6-20135ec881a6", | ||
58 | "isopen": false, | 58 | "isopen": false, | ||
59 | "landing_page": "https://cocodataset.org/", | 59 | "landing_page": "https://cocodataset.org/", | ||
60 | "license_title": null, | 60 | "license_title": null, | ||
61 | "link_orkg": "", | 61 | "link_orkg": "", | ||
62 | "metadata_created": "2024-12-02T17:52:04.558110", | 62 | "metadata_created": "2024-12-02T17:52:04.558110", | ||
n | 63 | "metadata_modified": "2024-12-02T18:02:55.555556", | n | 63 | "metadata_modified": "2024-12-02T18:02:56.436692", |
64 | "name": "coco-2017", | 64 | "name": "coco-2017", | ||
65 | "notes": "Object detection is one of the most foundational computer | 65 | "notes": "Object detection is one of the most foundational computer | ||
66 | vision task and is essential for many real-world applications. The | 66 | vision task and is essential for many real-world applications. The | ||
67 | object detection pipeline has been developed rapidly, especially in | 67 | object detection pipeline has been developed rapidly, especially in | ||
68 | the era of deep learning.", | 68 | the era of deep learning.", | ||
n | 69 | "num_resources": 0, | n | 69 | "num_resources": 1, |
70 | "num_tags": 14, | 70 | "num_tags": 14, | ||
71 | "organization": { | 71 | "organization": { | ||
72 | "approval_status": "approved", | 72 | "approval_status": "approved", | ||
73 | "created": "2024-11-25T12:11:38.292601", | 73 | "created": "2024-11-25T12:11:38.292601", | ||
74 | "description": "", | 74 | "description": "", | ||
75 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 75 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
76 | "image_url": "", | 76 | "image_url": "", | ||
77 | "is_organization": true, | 77 | "is_organization": true, | ||
78 | "name": "no-organization", | 78 | "name": "no-organization", | ||
79 | "state": "active", | 79 | "state": "active", | ||
80 | "title": "No Organization", | 80 | "title": "No Organization", | ||
81 | "type": "organization" | 81 | "type": "organization" | ||
82 | }, | 82 | }, | ||
83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 83 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
84 | "private": false, | 84 | "private": false, | ||
85 | "relationships_as_object": [], | 85 | "relationships_as_object": [], | ||
86 | "relationships_as_subject": [], | 86 | "relationships_as_subject": [], | ||
t | 87 | "resources": [], | t | 87 | "resources": [ |
88 | { | ||||
89 | "cache_last_updated": null, | ||||
90 | "cache_url": null, | ||||
91 | "created": "2024-12-02T18:38:42", | ||||
92 | "data": [ | ||||
93 | "dcterms:title", | ||||
94 | "dcterms:accessRights", | ||||
95 | "dcterms:creator", | ||||
96 | "dcterms:description", | ||||
97 | "dcterms:issued", | ||||
98 | "dcterms:language", | ||||
99 | "dcterms:identifier", | ||||
100 | "dcat:theme", | ||||
101 | "dcterms:type", | ||||
102 | "dcat:keyword", | ||||
103 | "dcat:landingPage", | ||||
104 | "dcterms:hasVersion", | ||||
105 | "dcterms:format", | ||||
106 | "mls:task", | ||||
107 | "datacite:isDescribedBy" | ||||
108 | ], | ||||
109 | "description": "The json representation of the dataset with its | ||||
110 | distributions based on DCAT.", | ||||
111 | "format": "JSON", | ||||
112 | "hash": "", | ||||
113 | "id": "e1685cec-f871-4773-8ead-a9db510ac9a0", | ||||
114 | "last_modified": "2024-12-02T18:02:56.427862", | ||||
115 | "metadata_modified": "2024-12-02T18:02:56.439681", | ||||
116 | "mimetype": "application/json", | ||||
117 | "mimetype_inner": null, | ||||
118 | "name": "Original Metadata", | ||||
119 | "package_id": "962ebbb8-62cb-408d-8fb6-20135ec881a6", | ||||
120 | "position": 0, | ||||
121 | "resource_type": null, | ||||
122 | "size": 1266, | ||||
123 | "state": "active", | ||||
124 | "url": | ||||
125 | resource/e1685cec-f871-4773-8ead-a9db510ac9a0/download/metadata.json", | ||||
126 | "url_type": "upload" | ||||
127 | } | ||||
128 | ], | ||||
88 | "services_used_list": "", | 129 | "services_used_list": "", | ||
89 | "state": "active", | 130 | "state": "active", | ||
90 | "tags": [ | 131 | "tags": [ | ||
91 | { | 132 | { | ||
92 | "display_name": "COCO", | 133 | "display_name": "COCO", | ||
93 | "id": "892a6596-c332-4778-b0bb-a1d1046c3cb8", | 134 | "id": "892a6596-c332-4778-b0bb-a1d1046c3cb8", | ||
94 | "name": "COCO", | 135 | "name": "COCO", | ||
95 | "state": "active", | 136 | "state": "active", | ||
96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "COCO 2017", | 140 | "display_name": "COCO 2017", | ||
100 | "id": "e0cb7f76-e1e4-4713-9501-5384d77d4878", | 141 | "id": "e0cb7f76-e1e4-4713-9501-5384d77d4878", | ||
101 | "name": "COCO 2017", | 142 | "name": "COCO 2017", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "Computer Vision", | 147 | "display_name": "Computer Vision", | ||
107 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | 148 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||
108 | "name": "Computer Vision", | 149 | "name": "Computer Vision", | ||
109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | }, | 152 | }, | ||
112 | { | 153 | { | ||
113 | "display_name": "Image Classification", | 154 | "display_name": "Image Classification", | ||
114 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 155 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
115 | "name": "Image Classification", | 156 | "name": "Image Classification", | ||
116 | "state": "active", | 157 | "state": "active", | ||
117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | }, | 159 | }, | ||
119 | { | 160 | { | ||
120 | "display_name": "Image Super-Resolution", | 161 | "display_name": "Image Super-Resolution", | ||
121 | "id": "02e51172-1a1f-4c06-8da2-efc1dec88d63", | 162 | "id": "02e51172-1a1f-4c06-8da2-efc1dec88d63", | ||
122 | "name": "Image Super-Resolution", | 163 | "name": "Image Super-Resolution", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | }, | 166 | }, | ||
126 | { | 167 | { | ||
127 | "display_name": "Image compression", | 168 | "display_name": "Image compression", | ||
128 | "id": "175ab77e-6b91-49b5-bc4d-fa6e2393fc1a", | 169 | "id": "175ab77e-6b91-49b5-bc4d-fa6e2393fc1a", | ||
129 | "name": "Image compression", | 170 | "name": "Image compression", | ||
130 | "state": "active", | 171 | "state": "active", | ||
131 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
132 | }, | 173 | }, | ||
133 | { | 174 | { | ||
134 | "display_name": "Image dataset", | 175 | "display_name": "Image dataset", | ||
135 | "id": "9616fb61-f2f2-4ac6-b2a9-91fcbed826e0", | 176 | "id": "9616fb61-f2f2-4ac6-b2a9-91fcbed826e0", | ||
136 | "name": "Image dataset", | 177 | "name": "Image dataset", | ||
137 | "state": "active", | 178 | "state": "active", | ||
138 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
139 | }, | 180 | }, | ||
140 | { | 181 | { | ||
141 | "display_name": "Instance Segmentation", | 182 | "display_name": "Instance Segmentation", | ||
142 | "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", | 183 | "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", | ||
143 | "name": "Instance Segmentation", | 184 | "name": "Instance Segmentation", | ||
144 | "state": "active", | 185 | "state": "active", | ||
145 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
146 | }, | 187 | }, | ||
147 | { | 188 | { | ||
148 | "display_name": "Object Detection", | 189 | "display_name": "Object Detection", | ||
149 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 190 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
150 | "name": "Object Detection", | 191 | "name": "Object Detection", | ||
151 | "state": "active", | 192 | "state": "active", | ||
152 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
153 | }, | 194 | }, | ||
154 | { | 195 | { | ||
155 | "display_name": "benchmark", | 196 | "display_name": "benchmark", | ||
156 | "id": "e3d4984e-822c-4023-a134-9cacabcfc36d", | 197 | "id": "e3d4984e-822c-4023-a134-9cacabcfc36d", | ||
157 | "name": "benchmark", | 198 | "name": "benchmark", | ||
158 | "state": "active", | 199 | "state": "active", | ||
159 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
160 | }, | 201 | }, | ||
161 | { | 202 | { | ||
162 | "display_name": "computer vision", | 203 | "display_name": "computer vision", | ||
163 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | 204 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | ||
164 | "name": "computer vision", | 205 | "name": "computer vision", | ||
165 | "state": "active", | 206 | "state": "active", | ||
166 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
167 | }, | 208 | }, | ||
168 | { | 209 | { | ||
169 | "display_name": "image classification", | 210 | "display_name": "image classification", | ||
170 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | 211 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||
171 | "name": "image classification", | 212 | "name": "image classification", | ||
172 | "state": "active", | 213 | "state": "active", | ||
173 | "vocabulary_id": null | 214 | "vocabulary_id": null | ||
174 | }, | 215 | }, | ||
175 | { | 216 | { | ||
176 | "display_name": "instance segmentation", | 217 | "display_name": "instance segmentation", | ||
177 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | 218 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | ||
178 | "name": "instance segmentation", | 219 | "name": "instance segmentation", | ||
179 | "state": "active", | 220 | "state": "active", | ||
180 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
181 | }, | 222 | }, | ||
182 | { | 223 | { | ||
183 | "display_name": "object detection", | 224 | "display_name": "object detection", | ||
184 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 225 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||
185 | "name": "object detection", | 226 | "name": "object detection", | ||
186 | "state": "active", | 227 | "state": "active", | ||
187 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
188 | } | 229 | } | ||
189 | ], | 230 | ], | ||
190 | "title": "COCO 2017", | 231 | "title": "COCO 2017", | ||
191 | "type": "dataset", | 232 | "type": "dataset", | ||
192 | "version": "" | 233 | "version": "" | ||
193 | } | 234 | } |