Changes
On December 2, 2024 at 10:35:58 PM UTC, admin:
-
Added resource Original Metadata to Pascal Context
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "R. Mottaghi", | 3 | "author": "R. Mottaghi", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1903.04688", | 6 | "https://doi.org/10.48550/arXiv.1903.04688", | ||
7 | "https://doi.org/10.48550/arXiv.1903.05434", | 7 | "https://doi.org/10.48550/arXiv.1903.05434", | ||
8 | "https://doi.org/10.48550/arXiv.1611.08986", | 8 | "https://doi.org/10.48550/arXiv.1611.08986", | ||
9 | "https://doi.org/10.48550/arXiv.2312.11872" | 9 | "https://doi.org/10.48550/arXiv.2312.11872" | ||
10 | ], | 10 | ], | ||
11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
12 | "defined_in": "https://doi.org/10.48550/arXiv.2406.09936", | 12 | "defined_in": "https://doi.org/10.48550/arXiv.2406.09936", | ||
13 | "doi": "10.57702/i5758bop", | 13 | "doi": "10.57702/i5758bop", | ||
14 | "doi_date_published": "2024-12-02", | 14 | "doi_date_published": "2024-12-02", | ||
15 | "doi_publisher": "TIB", | 15 | "doi_publisher": "TIB", | ||
16 | "doi_status": true, | 16 | "doi_status": true, | ||
17 | "domain": "https://service.tib.eu/ldmservice", | 17 | "domain": "https://service.tib.eu/ldmservice", | ||
18 | "extra_authors": [ | 18 | "extra_authors": [ | ||
19 | { | 19 | { | ||
20 | "extra_author": "X. Chen", | 20 | "extra_author": "X. Chen", | ||
21 | "orcid": "" | 21 | "orcid": "" | ||
22 | }, | 22 | }, | ||
23 | { | 23 | { | ||
24 | "extra_author": "X. Liu", | 24 | "extra_author": "X. Liu", | ||
25 | "orcid": "" | 25 | "orcid": "" | ||
26 | }, | 26 | }, | ||
27 | { | 27 | { | ||
28 | "extra_author": "N.-G. Cho", | 28 | "extra_author": "N.-G. Cho", | ||
29 | "orcid": "" | 29 | "orcid": "" | ||
30 | }, | 30 | }, | ||
31 | { | 31 | { | ||
32 | "extra_author": "S.-W. Lee", | 32 | "extra_author": "S.-W. Lee", | ||
33 | "orcid": "" | 33 | "orcid": "" | ||
34 | }, | 34 | }, | ||
35 | { | 35 | { | ||
36 | "extra_author": "S. Fidler", | 36 | "extra_author": "S. Fidler", | ||
37 | "orcid": "" | 37 | "orcid": "" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "extra_author": "R. Urtasun", | 40 | "extra_author": "R. Urtasun", | ||
41 | "orcid": "" | 41 | "orcid": "" | ||
42 | }, | 42 | }, | ||
43 | { | 43 | { | ||
44 | "extra_author": "A. Yuille", | 44 | "extra_author": "A. Yuille", | ||
45 | "orcid": "" | 45 | "orcid": "" | ||
46 | } | 46 | } | ||
47 | ], | 47 | ], | ||
48 | "groups": [ | 48 | "groups": [ | ||
49 | { | 49 | { | ||
50 | "description": "", | 50 | "description": "", | ||
51 | "display_name": "Context-Aware Image Segmentation", | 51 | "display_name": "Context-Aware Image Segmentation", | ||
52 | "id": "df0e8a79-e6e7-4e64-b4b4-aba331ed1340", | 52 | "id": "df0e8a79-e6e7-4e64-b4b4-aba331ed1340", | ||
53 | "image_display_url": "", | 53 | "image_display_url": "", | ||
54 | "name": "context-aware-image-segmentation", | 54 | "name": "context-aware-image-segmentation", | ||
55 | "title": "Context-Aware Image Segmentation" | 55 | "title": "Context-Aware Image Segmentation" | ||
56 | }, | 56 | }, | ||
57 | { | 57 | { | ||
58 | "description": "", | 58 | "description": "", | ||
59 | "display_name": "Image Dataset", | 59 | "display_name": "Image Dataset", | ||
60 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | 60 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | ||
61 | "image_display_url": "", | 61 | "image_display_url": "", | ||
62 | "name": "image-dataset", | 62 | "name": "image-dataset", | ||
63 | "title": "Image Dataset" | 63 | "title": "Image Dataset" | ||
64 | }, | 64 | }, | ||
65 | { | 65 | { | ||
66 | "description": "", | 66 | "description": "", | ||
67 | "display_name": "Image Segmentation", | 67 | "display_name": "Image Segmentation", | ||
68 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 68 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
69 | "image_display_url": "", | 69 | "image_display_url": "", | ||
70 | "name": "image-segmentation", | 70 | "name": "image-segmentation", | ||
71 | "title": "Image Segmentation" | 71 | "title": "Image Segmentation" | ||
72 | }, | 72 | }, | ||
73 | { | 73 | { | ||
74 | "description": "", | 74 | "description": "", | ||
75 | "display_name": "Natural Scene Understanding", | 75 | "display_name": "Natural Scene Understanding", | ||
76 | "id": "ee36a499-a58b-4498-bcae-3ec4b0ec9a99", | 76 | "id": "ee36a499-a58b-4498-bcae-3ec4b0ec9a99", | ||
77 | "image_display_url": "", | 77 | "image_display_url": "", | ||
78 | "name": "natural-scene-understanding", | 78 | "name": "natural-scene-understanding", | ||
79 | "title": "Natural Scene Understanding" | 79 | "title": "Natural Scene Understanding" | ||
80 | }, | 80 | }, | ||
81 | { | 81 | { | ||
82 | "description": "", | 82 | "description": "", | ||
83 | "display_name": "Object Detection", | 83 | "display_name": "Object Detection", | ||
84 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 84 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
85 | "image_display_url": "", | 85 | "image_display_url": "", | ||
86 | "name": "object-detection", | 86 | "name": "object-detection", | ||
87 | "title": "Object Detection" | 87 | "title": "Object Detection" | ||
88 | }, | 88 | }, | ||
89 | { | 89 | { | ||
90 | "description": "", | 90 | "description": "", | ||
91 | "display_name": "Semantic Segmentation", | 91 | "display_name": "Semantic Segmentation", | ||
92 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 92 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
93 | "image_display_url": "", | 93 | "image_display_url": "", | ||
94 | "name": "semantic-segmentation", | 94 | "name": "semantic-segmentation", | ||
95 | "title": "Semantic Segmentation" | 95 | "title": "Semantic Segmentation" | ||
96 | } | 96 | } | ||
97 | ], | 97 | ], | ||
98 | "id": "da2cc808-18c6-435e-bad8-d3c3bc742ebb", | 98 | "id": "da2cc808-18c6-435e-bad8-d3c3bc742ebb", | ||
99 | "isopen": false, | 99 | "isopen": false, | ||
100 | "landing_page": "https://www.pascal-voc.org/", | 100 | "landing_page": "https://www.pascal-voc.org/", | ||
101 | "license_title": null, | 101 | "license_title": null, | ||
102 | "link_orkg": "", | 102 | "link_orkg": "", | ||
103 | "metadata_created": "2024-12-02T22:15:11.871720", | 103 | "metadata_created": "2024-12-02T22:15:11.871720", | ||
n | 104 | "metadata_modified": "2024-12-02T22:35:56.781818", | n | 104 | "metadata_modified": "2024-12-02T22:35:57.891297", |
105 | "name": "pascal-context", | 105 | "name": "pascal-context", | ||
106 | "notes": "Semantic segmentation is a crucial and challenging task | 106 | "notes": "Semantic segmentation is a crucial and challenging task | ||
107 | for image understanding. It aims to predict a dense labeling map for | 107 | for image understanding. It aims to predict a dense labeling map for | ||
108 | the input image, which assigns each pixel a unique category label.", | 108 | the input image, which assigns each pixel a unique category label.", | ||
n | 109 | "num_resources": 0, | n | 109 | "num_resources": 1, |
110 | "num_tags": 14, | 110 | "num_tags": 14, | ||
111 | "organization": { | 111 | "organization": { | ||
112 | "approval_status": "approved", | 112 | "approval_status": "approved", | ||
113 | "created": "2024-11-25T12:11:38.292601", | 113 | "created": "2024-11-25T12:11:38.292601", | ||
114 | "description": "", | 114 | "description": "", | ||
115 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 115 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
116 | "image_url": "", | 116 | "image_url": "", | ||
117 | "is_organization": true, | 117 | "is_organization": true, | ||
118 | "name": "no-organization", | 118 | "name": "no-organization", | ||
119 | "state": "active", | 119 | "state": "active", | ||
120 | "title": "No Organization", | 120 | "title": "No Organization", | ||
121 | "type": "organization" | 121 | "type": "organization" | ||
122 | }, | 122 | }, | ||
123 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 123 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
124 | "private": false, | 124 | "private": false, | ||
125 | "relationships_as_object": [], | 125 | "relationships_as_object": [], | ||
126 | "relationships_as_subject": [], | 126 | "relationships_as_subject": [], | ||
t | 127 | "resources": [], | t | 127 | "resources": [ |
128 | { | ||||
129 | "cache_last_updated": null, | ||||
130 | "cache_url": null, | ||||
131 | "created": "2024-12-02T22:29:38", | ||||
132 | "data": [ | ||||
133 | "dcterms:title", | ||||
134 | "dcterms:accessRights", | ||||
135 | "dcterms:creator", | ||||
136 | "dcterms:description", | ||||
137 | "dcterms:issued", | ||||
138 | "dcterms:language", | ||||
139 | "dcterms:identifier", | ||||
140 | "dcat:theme", | ||||
141 | "dcterms:type", | ||||
142 | "dcat:keyword", | ||||
143 | "dcat:landingPage", | ||||
144 | "dcterms:hasVersion", | ||||
145 | "dcterms:format", | ||||
146 | "mls:task", | ||||
147 | "datacite:isDescribedBy" | ||||
148 | ], | ||||
149 | "description": "The json representation of the dataset with its | ||||
150 | distributions based on DCAT.", | ||||
151 | "format": "JSON", | ||||
152 | "hash": "", | ||||
153 | "id": "b7524332-c649-4b2b-b84a-6a26af7c746a", | ||||
154 | "last_modified": "2024-12-02T22:35:57.882280", | ||||
155 | "metadata_modified": "2024-12-02T22:35:57.894134", | ||||
156 | "mimetype": "application/json", | ||||
157 | "mimetype_inner": null, | ||||
158 | "name": "Original Metadata", | ||||
159 | "package_id": "da2cc808-18c6-435e-bad8-d3c3bc742ebb", | ||||
160 | "position": 0, | ||||
161 | "resource_type": null, | ||||
162 | "size": 1402, | ||||
163 | "state": "active", | ||||
164 | "url": | ||||
165 | resource/b7524332-c649-4b2b-b84a-6a26af7c746a/download/metadata.json", | ||||
166 | "url_type": "upload" | ||||
167 | } | ||||
168 | ], | ||||
128 | "services_used_list": "", | 169 | "services_used_list": "", | ||
129 | "state": "active", | 170 | "state": "active", | ||
130 | "tags": [ | 171 | "tags": [ | ||
131 | { | 172 | { | ||
132 | "display_name": "Dataset", | 173 | "display_name": "Dataset", | ||
133 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | 174 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | ||
134 | "name": "Dataset", | 175 | "name": "Dataset", | ||
135 | "state": "active", | 176 | "state": "active", | ||
136 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
137 | }, | 178 | }, | ||
138 | { | 179 | { | ||
139 | "display_name": "Image", | 180 | "display_name": "Image", | ||
140 | "id": "ca701146-4139-43fe-a114-4f31ab3d20a1", | 181 | "id": "ca701146-4139-43fe-a114-4f31ab3d20a1", | ||
141 | "name": "Image", | 182 | "name": "Image", | ||
142 | "state": "active", | 183 | "state": "active", | ||
143 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
144 | }, | 185 | }, | ||
145 | { | 186 | { | ||
146 | "display_name": "Image Segmentation", | 187 | "display_name": "Image Segmentation", | ||
147 | "id": "f5603951-aef2-4539-8066-15e72f32271b", | 188 | "id": "f5603951-aef2-4539-8066-15e72f32271b", | ||
148 | "name": "Image Segmentation", | 189 | "name": "Image Segmentation", | ||
149 | "state": "active", | 190 | "state": "active", | ||
150 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
151 | }, | 192 | }, | ||
152 | { | 193 | { | ||
153 | "display_name": "Pascal Context", | 194 | "display_name": "Pascal Context", | ||
154 | "id": "94ed303c-8256-498d-a281-9a857ffd97c8", | 195 | "id": "94ed303c-8256-498d-a281-9a857ffd97c8", | ||
155 | "name": "Pascal Context", | 196 | "name": "Pascal Context", | ||
156 | "state": "active", | 197 | "state": "active", | ||
157 | "vocabulary_id": null | 198 | "vocabulary_id": null | ||
158 | }, | 199 | }, | ||
159 | { | 200 | { | ||
160 | "display_name": "Semantic Segmentation", | 201 | "display_name": "Semantic Segmentation", | ||
161 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 202 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
162 | "name": "Semantic Segmentation", | 203 | "name": "Semantic Segmentation", | ||
163 | "state": "active", | 204 | "state": "active", | ||
164 | "vocabulary_id": null | 205 | "vocabulary_id": null | ||
165 | }, | 206 | }, | ||
166 | { | 207 | { | ||
167 | "display_name": "context-aware image segmentation", | 208 | "display_name": "context-aware image segmentation", | ||
168 | "id": "91d5ecb9-b757-46bf-a3d9-9e269c06071a", | 209 | "id": "91d5ecb9-b757-46bf-a3d9-9e269c06071a", | ||
169 | "name": "context-aware image segmentation", | 210 | "name": "context-aware image segmentation", | ||
170 | "state": "active", | 211 | "state": "active", | ||
171 | "vocabulary_id": null | 212 | "vocabulary_id": null | ||
172 | }, | 213 | }, | ||
173 | { | 214 | { | ||
174 | "display_name": "image classification", | 215 | "display_name": "image classification", | ||
175 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | 216 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||
176 | "name": "image classification", | 217 | "name": "image classification", | ||
177 | "state": "active", | 218 | "state": "active", | ||
178 | "vocabulary_id": null | 219 | "vocabulary_id": null | ||
179 | }, | 220 | }, | ||
180 | { | 221 | { | ||
181 | "display_name": "image dataset", | 222 | "display_name": "image dataset", | ||
182 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | 223 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | ||
183 | "name": "image dataset", | 224 | "name": "image dataset", | ||
184 | "state": "active", | 225 | "state": "active", | ||
185 | "vocabulary_id": null | 226 | "vocabulary_id": null | ||
186 | }, | 227 | }, | ||
187 | { | 228 | { | ||
188 | "display_name": "image labeling", | 229 | "display_name": "image labeling", | ||
189 | "id": "b077815b-61b5-4815-98d2-0fe21e556fd4", | 230 | "id": "b077815b-61b5-4815-98d2-0fe21e556fd4", | ||
190 | "name": "image labeling", | 231 | "name": "image labeling", | ||
191 | "state": "active", | 232 | "state": "active", | ||
192 | "vocabulary_id": null | 233 | "vocabulary_id": null | ||
193 | }, | 234 | }, | ||
194 | { | 235 | { | ||
195 | "display_name": "image segmentation", | 236 | "display_name": "image segmentation", | ||
196 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | 237 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | ||
197 | "name": "image segmentation", | 238 | "name": "image segmentation", | ||
198 | "state": "active", | 239 | "state": "active", | ||
199 | "vocabulary_id": null | 240 | "vocabulary_id": null | ||
200 | }, | 241 | }, | ||
201 | { | 242 | { | ||
202 | "display_name": "natural scene", | 243 | "display_name": "natural scene", | ||
203 | "id": "814bc820-4a10-4347-a61a-39d9f590f583", | 244 | "id": "814bc820-4a10-4347-a61a-39d9f590f583", | ||
204 | "name": "natural scene", | 245 | "name": "natural scene", | ||
205 | "state": "active", | 246 | "state": "active", | ||
206 | "vocabulary_id": null | 247 | "vocabulary_id": null | ||
207 | }, | 248 | }, | ||
208 | { | 249 | { | ||
209 | "display_name": "object detection", | 250 | "display_name": "object detection", | ||
210 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 251 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||
211 | "name": "object detection", | 252 | "name": "object detection", | ||
212 | "state": "active", | 253 | "state": "active", | ||
213 | "vocabulary_id": null | 254 | "vocabulary_id": null | ||
214 | }, | 255 | }, | ||
215 | { | 256 | { | ||
216 | "display_name": "semantic segmentation", | 257 | "display_name": "semantic segmentation", | ||
217 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 258 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
218 | "name": "semantic segmentation", | 259 | "name": "semantic segmentation", | ||
219 | "state": "active", | 260 | "state": "active", | ||
220 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
221 | }, | 262 | }, | ||
222 | { | 263 | { | ||
223 | "display_name": "transformers", | 264 | "display_name": "transformers", | ||
224 | "id": "de8ae43b-acd0-4152-8c68-d20cb235cd5f", | 265 | "id": "de8ae43b-acd0-4152-8c68-d20cb235cd5f", | ||
225 | "name": "transformers", | 266 | "name": "transformers", | ||
226 | "state": "active", | 267 | "state": "active", | ||
227 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
228 | } | 269 | } | ||
229 | ], | 270 | ], | ||
230 | "title": "Pascal Context", | 271 | "title": "Pascal Context", | ||
231 | "type": "dataset", | 272 | "type": "dataset", | ||
232 | "version": "" | 273 | "version": "" | ||
233 | } | 274 | } |