Changes
On December 2, 2024 at 10:15:13 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in PASCAL-Context -
Changed value of field
doi_date_published
to2024-12-02
in PASCAL-Context -
Added resource Original Metadata to PASCAL-Context
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Changqian Yu", | 3 | "author": "Changqian Yu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1611.08061", | 6 | "https://doi.org/10.48550/arXiv.1611.08061", | ||
7 | "https://doi.org/10.48550/arXiv.2308.12894", | 7 | "https://doi.org/10.48550/arXiv.2308.12894", | ||
8 | "https://doi.org/10.48550/arXiv.1812.04945", | 8 | "https://doi.org/10.48550/arXiv.1812.04945", | ||
9 | "https://doi.org/10.48550/arXiv.1909.00179", | 9 | "https://doi.org/10.48550/arXiv.1909.00179", | ||
10 | "https://doi.org/10.48550/arXiv.2303.06856", | 10 | "https://doi.org/10.48550/arXiv.2303.06856", | ||
11 | "https://doi.org/10.48550/arXiv.2104.00749" | 11 | "https://doi.org/10.48550/arXiv.2104.00749" | ||
12 | ], | 12 | ], | ||
13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
14 | "defined_in": "https://doi.org/10.48550/arXiv.2210.05844", | 14 | "defined_in": "https://doi.org/10.48550/arXiv.2210.05844", | ||
15 | "doi": "10.57702/i5758bop", | 15 | "doi": "10.57702/i5758bop", | ||
n | 16 | "doi_date_published": null, | n | 16 | "doi_date_published": "2024-12-02", |
17 | "doi_publisher": "TIB", | 17 | "doi_publisher": "TIB", | ||
n | 18 | "doi_status": false, | n | 18 | "doi_status": true, |
19 | "domain": "https://service.tib.eu/ldmservice", | 19 | "domain": "https://service.tib.eu/ldmservice", | ||
20 | "extra_authors": [ | 20 | "extra_authors": [ | ||
21 | { | 21 | { | ||
22 | "extra_author": "Jingbo Wang", | 22 | "extra_author": "Jingbo Wang", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "extra_author": "Changxin Gao", | 26 | "extra_author": "Changxin Gao", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "extra_author": "Gang Yu", | 30 | "extra_author": "Gang Yu", | ||
31 | "orcid": "" | 31 | "orcid": "" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "extra_author": "Nong Sang", | 34 | "extra_author": "Nong Sang", | ||
35 | "orcid": "" | 35 | "orcid": "" | ||
36 | } | 36 | } | ||
37 | ], | 37 | ], | ||
38 | "groups": [ | 38 | "groups": [ | ||
39 | { | 39 | { | ||
40 | "description": "", | 40 | "description": "", | ||
41 | "display_name": "Computer Vision", | 41 | "display_name": "Computer Vision", | ||
42 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 42 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
44 | "name": "computer-vision", | 44 | "name": "computer-vision", | ||
45 | "title": "Computer Vision" | 45 | "title": "Computer Vision" | ||
46 | }, | 46 | }, | ||
47 | { | 47 | { | ||
48 | "description": "", | 48 | "description": "", | ||
49 | "display_name": "Image Segmentation", | 49 | "display_name": "Image Segmentation", | ||
50 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 50 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
52 | "name": "image-segmentation", | 52 | "name": "image-segmentation", | ||
53 | "title": "Image Segmentation" | 53 | "title": "Image Segmentation" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "display_name": "Object Detection", | 57 | "display_name": "Object Detection", | ||
58 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 58 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
60 | "name": "object-detection", | 60 | "name": "object-detection", | ||
61 | "title": "Object Detection" | 61 | "title": "Object Detection" | ||
62 | }, | 62 | }, | ||
63 | { | 63 | { | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "display_name": "Scene Segmentation", | 65 | "display_name": "Scene Segmentation", | ||
66 | "id": "69266901-10c5-4367-b59e-e438f0dd6e34", | 66 | "id": "69266901-10c5-4367-b59e-e438f0dd6e34", | ||
67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
68 | "name": "scene-segmentation", | 68 | "name": "scene-segmentation", | ||
69 | "title": "Scene Segmentation" | 69 | "title": "Scene Segmentation" | ||
70 | }, | 70 | }, | ||
71 | { | 71 | { | ||
72 | "description": "", | 72 | "description": "", | ||
73 | "display_name": "Semantic Segmentation", | 73 | "display_name": "Semantic Segmentation", | ||
74 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 74 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
75 | "image_display_url": "", | 75 | "image_display_url": "", | ||
76 | "name": "semantic-segmentation", | 76 | "name": "semantic-segmentation", | ||
77 | "title": "Semantic Segmentation" | 77 | "title": "Semantic Segmentation" | ||
78 | } | 78 | } | ||
79 | ], | 79 | ], | ||
80 | "id": "da2cc808-18c6-435e-bad8-d3c3bc742ebb", | 80 | "id": "da2cc808-18c6-435e-bad8-d3c3bc742ebb", | ||
81 | "isopen": false, | 81 | "isopen": false, | ||
82 | "landing_page": "https://www.pascal-context.org/", | 82 | "landing_page": "https://www.pascal-context.org/", | ||
83 | "license_title": null, | 83 | "license_title": null, | ||
84 | "link_orkg": "", | 84 | "link_orkg": "", | ||
85 | "metadata_created": "2024-12-02T22:15:11.871720", | 85 | "metadata_created": "2024-12-02T22:15:11.871720", | ||
n | 86 | "metadata_modified": "2024-12-02T22:15:11.871726", | n | 86 | "metadata_modified": "2024-12-02T22:15:12.485564", |
87 | "name": "pascal-context", | 87 | "name": "pascal-context", | ||
88 | "notes": "PASCAL-Context datasets contain PASCAL VOC 2010 with | 88 | "notes": "PASCAL-Context datasets contain PASCAL VOC 2010 with | ||
89 | semantic segmentation, human parts segmentation, and saliency maps, as | 89 | semantic segmentation, human parts segmentation, and saliency maps, as | ||
90 | well as additional annotations for surface normals and edge maps.", | 90 | well as additional annotations for surface normals and edge maps.", | ||
n | 91 | "num_resources": 0, | n | 91 | "num_resources": 1, |
92 | "num_tags": 10, | 92 | "num_tags": 10, | ||
93 | "organization": { | 93 | "organization": { | ||
94 | "approval_status": "approved", | 94 | "approval_status": "approved", | ||
95 | "created": "2024-11-25T12:11:38.292601", | 95 | "created": "2024-11-25T12:11:38.292601", | ||
96 | "description": "", | 96 | "description": "", | ||
97 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 97 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
98 | "image_url": "", | 98 | "image_url": "", | ||
99 | "is_organization": true, | 99 | "is_organization": true, | ||
100 | "name": "no-organization", | 100 | "name": "no-organization", | ||
101 | "state": "active", | 101 | "state": "active", | ||
102 | "title": "No Organization", | 102 | "title": "No Organization", | ||
103 | "type": "organization" | 103 | "type": "organization" | ||
104 | }, | 104 | }, | ||
105 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 105 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
106 | "private": false, | 106 | "private": false, | ||
107 | "relationships_as_object": [], | 107 | "relationships_as_object": [], | ||
108 | "relationships_as_subject": [], | 108 | "relationships_as_subject": [], | ||
t | 109 | "resources": [], | t | 109 | "resources": [ |
110 | { | ||||
111 | "cache_last_updated": null, | ||||
112 | "cache_url": null, | ||||
113 | "created": "2024-12-02T22:29:38", | ||||
114 | "data": [ | ||||
115 | "dcterms:title", | ||||
116 | "dcterms:accessRights", | ||||
117 | "dcterms:creator", | ||||
118 | "dcterms:description", | ||||
119 | "dcterms:issued", | ||||
120 | "dcterms:language", | ||||
121 | "dcterms:identifier", | ||||
122 | "dcat:theme", | ||||
123 | "dcterms:type", | ||||
124 | "dcat:keyword", | ||||
125 | "dcat:landingPage", | ||||
126 | "dcterms:hasVersion", | ||||
127 | "dcterms:format", | ||||
128 | "mls:task", | ||||
129 | "datacite:isDescribedBy" | ||||
130 | ], | ||||
131 | "description": "The json representation of the dataset with its | ||||
132 | distributions based on DCAT.", | ||||
133 | "format": "JSON", | ||||
134 | "hash": "", | ||||
135 | "id": "e08cbd27-8fe4-4ee6-802e-d0e0679ce98c", | ||||
136 | "last_modified": "2024-12-02T22:15:12.477223", | ||||
137 | "metadata_modified": "2024-12-02T22:15:12.488312", | ||||
138 | "mimetype": "application/json", | ||||
139 | "mimetype_inner": null, | ||||
140 | "name": "Original Metadata", | ||||
141 | "package_id": "da2cc808-18c6-435e-bad8-d3c3bc742ebb", | ||||
142 | "position": 0, | ||||
143 | "resource_type": null, | ||||
144 | "size": 1314, | ||||
145 | "state": "active", | ||||
146 | "url": | ||||
147 | resource/e08cbd27-8fe4-4ee6-802e-d0e0679ce98c/download/metadata.json", | ||||
148 | "url_type": "upload" | ||||
149 | } | ||||
150 | ], | ||||
110 | "services_used_list": "", | 151 | "services_used_list": "", | ||
111 | "state": "active", | 152 | "state": "active", | ||
112 | "tags": [ | 153 | "tags": [ | ||
113 | { | 154 | { | ||
114 | "display_name": "Computer Vision", | 155 | "display_name": "Computer Vision", | ||
115 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | 156 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||
116 | "name": "Computer Vision", | 157 | "name": "Computer Vision", | ||
117 | "state": "active", | 158 | "state": "active", | ||
118 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
119 | }, | 160 | }, | ||
120 | { | 161 | { | ||
121 | "display_name": "Human Parts Segmentation", | 162 | "display_name": "Human Parts Segmentation", | ||
122 | "id": "eae0a45c-49fe-45ef-a09f-0dbf19fc0a87", | 163 | "id": "eae0a45c-49fe-45ef-a09f-0dbf19fc0a87", | ||
123 | "name": "Human Parts Segmentation", | 164 | "name": "Human Parts Segmentation", | ||
124 | "state": "active", | 165 | "state": "active", | ||
125 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
126 | }, | 167 | }, | ||
127 | { | 168 | { | ||
128 | "display_name": "Image Classification", | 169 | "display_name": "Image Classification", | ||
129 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 170 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
130 | "name": "Image Classification", | 171 | "name": "Image Classification", | ||
131 | "state": "active", | 172 | "state": "active", | ||
132 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
133 | }, | 174 | }, | ||
134 | { | 175 | { | ||
135 | "display_name": "Image Segmentation", | 176 | "display_name": "Image Segmentation", | ||
136 | "id": "f5603951-aef2-4539-8066-15e72f32271b", | 177 | "id": "f5603951-aef2-4539-8066-15e72f32271b", | ||
137 | "name": "Image Segmentation", | 178 | "name": "Image Segmentation", | ||
138 | "state": "active", | 179 | "state": "active", | ||
139 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
140 | }, | 181 | }, | ||
141 | { | 182 | { | ||
142 | "display_name": "Object Detection", | 183 | "display_name": "Object Detection", | ||
143 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 184 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
144 | "name": "Object Detection", | 185 | "name": "Object Detection", | ||
145 | "state": "active", | 186 | "state": "active", | ||
146 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
147 | }, | 188 | }, | ||
148 | { | 189 | { | ||
149 | "display_name": "PASCAL-Context", | 190 | "display_name": "PASCAL-Context", | ||
150 | "id": "0ad4803d-0cf6-4144-947f-dc4ff24d36df", | 191 | "id": "0ad4803d-0cf6-4144-947f-dc4ff24d36df", | ||
151 | "name": "PASCAL-Context", | 192 | "name": "PASCAL-Context", | ||
152 | "state": "active", | 193 | "state": "active", | ||
153 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
154 | }, | 195 | }, | ||
155 | { | 196 | { | ||
156 | "display_name": "Saliency Maps", | 197 | "display_name": "Saliency Maps", | ||
157 | "id": "91ca879a-d149-4e06-af59-d013d02a0bf7", | 198 | "id": "91ca879a-d149-4e06-af59-d013d02a0bf7", | ||
158 | "name": "Saliency Maps", | 199 | "name": "Saliency Maps", | ||
159 | "state": "active", | 200 | "state": "active", | ||
160 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
161 | }, | 202 | }, | ||
162 | { | 203 | { | ||
163 | "display_name": "Scene Segmentation", | 204 | "display_name": "Scene Segmentation", | ||
164 | "id": "a421d736-de87-4bf6-b0ca-865cede9173a", | 205 | "id": "a421d736-de87-4bf6-b0ca-865cede9173a", | ||
165 | "name": "Scene Segmentation", | 206 | "name": "Scene Segmentation", | ||
166 | "state": "active", | 207 | "state": "active", | ||
167 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
168 | }, | 209 | }, | ||
169 | { | 210 | { | ||
170 | "display_name": "Semantic Segmentation", | 211 | "display_name": "Semantic Segmentation", | ||
171 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 212 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
172 | "name": "Semantic Segmentation", | 213 | "name": "Semantic Segmentation", | ||
173 | "state": "active", | 214 | "state": "active", | ||
174 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
175 | }, | 216 | }, | ||
176 | { | 217 | { | ||
177 | "display_name": "semantic segmentation", | 218 | "display_name": "semantic segmentation", | ||
178 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 219 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
179 | "name": "semantic segmentation", | 220 | "name": "semantic segmentation", | ||
180 | "state": "active", | 221 | "state": "active", | ||
181 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
182 | } | 223 | } | ||
183 | ], | 224 | ], | ||
184 | "title": "PASCAL-Context", | 225 | "title": "PASCAL-Context", | ||
185 | "type": "dataset", | 226 | "type": "dataset", | ||
186 | "version": "" | 227 | "version": "" | ||
187 | } | 228 | } |