Changes
On December 3, 2024 at 9:38:50 AM UTC, admin:
-
Added resource Original Metadata to NYUv2 dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Xinni Jiang", | 3 | "author": "Xinni Jiang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2401.08123", | 6 | "https://doi.org/10.48550/arXiv.2401.08123", | ||
7 | "https://doi.org/10.48550/arXiv.1803.02784", | 7 | "https://doi.org/10.48550/arXiv.1803.02784", | ||
8 | "https://doi.org/10.1109/LRA.2024.3416788", | 8 | "https://doi.org/10.1109/LRA.2024.3416788", | ||
9 | "https://doi.org/10.48550/arXiv.2203.09168" | 9 | "https://doi.org/10.48550/arXiv.2203.09168" | ||
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.1905.07005", | 12 | "defined_in": "https://doi.org/10.48550/arXiv.1905.07005", | ||
13 | "doi": "10.57702/2lkei111", | 13 | "doi": "10.57702/2lkei111", | ||
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": "Zengsheng Kuang", | 20 | "extra_author": "Zengsheng Kuang", | ||
21 | "orcid": "" | 21 | "orcid": "" | ||
22 | }, | 22 | }, | ||
23 | { | 23 | { | ||
24 | "extra_author": "Chunle Guo", | 24 | "extra_author": "Chunle Guo", | ||
25 | "orcid": "" | 25 | "orcid": "" | ||
26 | }, | 26 | }, | ||
27 | { | 27 | { | ||
28 | "extra_author": "Ruixun Zhang", | 28 | "extra_author": "Ruixun Zhang", | ||
29 | "orcid": "" | 29 | "orcid": "" | ||
30 | }, | 30 | }, | ||
31 | { | 31 | { | ||
32 | "extra_author": "Lei Cai", | 32 | "extra_author": "Lei Cai", | ||
33 | "orcid": "" | 33 | "orcid": "" | ||
34 | }, | 34 | }, | ||
35 | { | 35 | { | ||
36 | "extra_author": "Xiao Fan", | 36 | "extra_author": "Xiao Fan", | ||
37 | "orcid": "" | 37 | "orcid": "" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "extra_author": "Chongyi Li", | 40 | "extra_author": "Chongyi Li", | ||
41 | "orcid": "" | 41 | "orcid": "" | ||
42 | } | 42 | } | ||
43 | ], | 43 | ], | ||
44 | "groups": [ | 44 | "groups": [ | ||
45 | { | 45 | { | ||
46 | "description": "", | 46 | "description": "", | ||
47 | "display_name": "3D Object Recognition", | 47 | "display_name": "3D Object Recognition", | ||
48 | "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1", | 48 | "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1", | ||
49 | "image_display_url": "", | 49 | "image_display_url": "", | ||
50 | "name": "3d-object-recognition", | 50 | "name": "3d-object-recognition", | ||
51 | "title": "3D Object Recognition" | 51 | "title": "3D Object Recognition" | ||
52 | }, | 52 | }, | ||
53 | { | 53 | { | ||
54 | "description": "", | 54 | "description": "", | ||
55 | "display_name": "Computer Vision", | 55 | "display_name": "Computer Vision", | ||
56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
58 | "name": "computer-vision", | 58 | "name": "computer-vision", | ||
59 | "title": "Computer Vision" | 59 | "title": "Computer Vision" | ||
60 | }, | 60 | }, | ||
61 | { | 61 | { | ||
62 | "description": "", | 62 | "description": "", | ||
63 | "display_name": "Depth Estimation", | 63 | "display_name": "Depth Estimation", | ||
64 | "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", | 64 | "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", | ||
65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
66 | "name": "depth-estimation", | 66 | "name": "depth-estimation", | ||
67 | "title": "Depth Estimation" | 67 | "title": "Depth Estimation" | ||
68 | }, | 68 | }, | ||
69 | { | 69 | { | ||
70 | "description": "", | 70 | "description": "", | ||
71 | "display_name": "Depth Super-Resolution", | 71 | "display_name": "Depth Super-Resolution", | ||
72 | "id": "3057a183-0c40-46a3-a1e9-bb6ceab6e21c", | 72 | "id": "3057a183-0c40-46a3-a1e9-bb6ceab6e21c", | ||
73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
74 | "name": "depth-super-resolution", | 74 | "name": "depth-super-resolution", | ||
75 | "title": "Depth Super-Resolution" | 75 | "title": "Depth Super-Resolution" | ||
76 | }, | 76 | }, | ||
77 | { | 77 | { | ||
78 | "description": "", | 78 | "description": "", | ||
79 | "display_name": "Semantic Segmentation", | 79 | "display_name": "Semantic Segmentation", | ||
80 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 80 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
81 | "image_display_url": "", | 81 | "image_display_url": "", | ||
82 | "name": "semantic-segmentation", | 82 | "name": "semantic-segmentation", | ||
83 | "title": "Semantic Segmentation" | 83 | "title": "Semantic Segmentation" | ||
84 | }, | 84 | }, | ||
85 | { | 85 | { | ||
86 | "description": "", | 86 | "description": "", | ||
87 | "display_name": "Visual Odometry", | 87 | "display_name": "Visual Odometry", | ||
88 | "id": "27ff25a9-e176-4b6d-8035-cc6c964cd212", | 88 | "id": "27ff25a9-e176-4b6d-8035-cc6c964cd212", | ||
89 | "image_display_url": "", | 89 | "image_display_url": "", | ||
90 | "name": "visual-odometry", | 90 | "name": "visual-odometry", | ||
91 | "title": "Visual Odometry" | 91 | "title": "Visual Odometry" | ||
92 | } | 92 | } | ||
93 | ], | 93 | ], | ||
94 | "id": "81ad4f95-0d38-4f88-8f1f-0fa9a6976264", | 94 | "id": "81ad4f95-0d38-4f88-8f1f-0fa9a6976264", | ||
95 | "isopen": false, | 95 | "isopen": false, | ||
96 | "landing_page": "https://www.cs.nyu.edu/~silberman/datasets.html", | 96 | "landing_page": "https://www.cs.nyu.edu/~silberman/datasets.html", | ||
97 | "license_title": null, | 97 | "license_title": null, | ||
98 | "link_orkg": "", | 98 | "link_orkg": "", | ||
99 | "metadata_created": "2024-12-02T22:47:42.528951", | 99 | "metadata_created": "2024-12-02T22:47:42.528951", | ||
n | 100 | "metadata_modified": "2024-12-03T09:38:48.410739", | n | 100 | "metadata_modified": "2024-12-03T09:38:49.411881", |
101 | "name": "nyuv2-dataset", | 101 | "name": "nyuv2-dataset", | ||
102 | "notes": "The NYUv2 dataset is a large-scale dataset for 3D object | 102 | "notes": "The NYUv2 dataset is a large-scale dataset for 3D object | ||
103 | recognition and semantic segmentation. It contains 206 test set video | 103 | recognition and semantic segmentation. It contains 206 test set video | ||
104 | sequences with 135 classes.", | 104 | sequences with 135 classes.", | ||
n | 105 | "num_resources": 0, | n | 105 | "num_resources": 1, |
106 | "num_tags": 13, | 106 | "num_tags": 13, | ||
107 | "organization": { | 107 | "organization": { | ||
108 | "approval_status": "approved", | 108 | "approval_status": "approved", | ||
109 | "created": "2024-11-25T12:11:38.292601", | 109 | "created": "2024-11-25T12:11:38.292601", | ||
110 | "description": "", | 110 | "description": "", | ||
111 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 111 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
112 | "image_url": "", | 112 | "image_url": "", | ||
113 | "is_organization": true, | 113 | "is_organization": true, | ||
114 | "name": "no-organization", | 114 | "name": "no-organization", | ||
115 | "state": "active", | 115 | "state": "active", | ||
116 | "title": "No Organization", | 116 | "title": "No Organization", | ||
117 | "type": "organization" | 117 | "type": "organization" | ||
118 | }, | 118 | }, | ||
119 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 119 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
120 | "private": false, | 120 | "private": false, | ||
121 | "relationships_as_object": [], | 121 | "relationships_as_object": [], | ||
122 | "relationships_as_subject": [], | 122 | "relationships_as_subject": [], | ||
t | 123 | "resources": [], | t | 123 | "resources": [ |
124 | { | ||||
125 | "cache_last_updated": null, | ||||
126 | "cache_url": null, | ||||
127 | "created": "2024-12-03T10:17:29", | ||||
128 | "data": [ | ||||
129 | "dcterms:title", | ||||
130 | "dcterms:accessRights", | ||||
131 | "dcterms:creator", | ||||
132 | "dcterms:description", | ||||
133 | "dcterms:issued", | ||||
134 | "dcterms:language", | ||||
135 | "dcterms:identifier", | ||||
136 | "dcat:theme", | ||||
137 | "dcterms:type", | ||||
138 | "dcat:keyword", | ||||
139 | "dcat:landingPage", | ||||
140 | "dcterms:hasVersion", | ||||
141 | "dcterms:format", | ||||
142 | "mls:task", | ||||
143 | "datacite:isDescribedBy" | ||||
144 | ], | ||||
145 | "description": "The json representation of the dataset with its | ||||
146 | distributions based on DCAT.", | ||||
147 | "format": "JSON", | ||||
148 | "hash": "", | ||||
149 | "id": "11ac4fb4-9858-4f79-a0ef-840e12e2f858", | ||||
150 | "last_modified": "2024-12-03T09:38:49.402959", | ||||
151 | "metadata_modified": "2024-12-03T09:38:49.414795", | ||||
152 | "mimetype": "application/json", | ||||
153 | "mimetype_inner": null, | ||||
154 | "name": "Original Metadata", | ||||
155 | "package_id": "81ad4f95-0d38-4f88-8f1f-0fa9a6976264", | ||||
156 | "position": 0, | ||||
157 | "resource_type": null, | ||||
158 | "size": 1382, | ||||
159 | "state": "active", | ||||
160 | "url": | ||||
161 | resource/11ac4fb4-9858-4f79-a0ef-840e12e2f858/download/metadata.json", | ||||
162 | "url_type": "upload" | ||||
163 | } | ||||
164 | ], | ||||
124 | "services_used_list": "", | 165 | "services_used_list": "", | ||
125 | "state": "active", | 166 | "state": "active", | ||
126 | "tags": [ | 167 | "tags": [ | ||
127 | { | 168 | { | ||
128 | "display_name": "3D object recognition", | 169 | "display_name": "3D object recognition", | ||
129 | "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1", | 170 | "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1", | ||
130 | "name": "3D object recognition", | 171 | "name": "3D object recognition", | ||
131 | "state": "active", | 172 | "state": "active", | ||
132 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
133 | }, | 174 | }, | ||
134 | { | 175 | { | ||
135 | "display_name": "Coded Visual Odometry", | 176 | "display_name": "Coded Visual Odometry", | ||
136 | "id": "fde6b232-a3ca-4e60-8ea5-cba7dabe29e5", | 177 | "id": "fde6b232-a3ca-4e60-8ea5-cba7dabe29e5", | ||
137 | "name": "Coded Visual Odometry", | 178 | "name": "Coded Visual Odometry", | ||
138 | "state": "active", | 179 | "state": "active", | ||
139 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
140 | }, | 181 | }, | ||
141 | { | 182 | { | ||
142 | "display_name": "Depth Estimation", | 183 | "display_name": "Depth Estimation", | ||
143 | "id": "559df65c-baac-4373-9e7e-6732051e61ec", | 184 | "id": "559df65c-baac-4373-9e7e-6732051e61ec", | ||
144 | "name": "Depth Estimation", | 185 | "name": "Depth Estimation", | ||
145 | "state": "active", | 186 | "state": "active", | ||
146 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
147 | }, | 188 | }, | ||
148 | { | 189 | { | ||
149 | "display_name": "NYUv2", | 190 | "display_name": "NYUv2", | ||
150 | "id": "f38a103e-ef81-4fc7-a558-3de4df053d06", | 191 | "id": "f38a103e-ef81-4fc7-a558-3de4df053d06", | ||
151 | "name": "NYUv2", | 192 | "name": "NYUv2", | ||
152 | "state": "active", | 193 | "state": "active", | ||
153 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
154 | }, | 195 | }, | ||
155 | { | 196 | { | ||
156 | "display_name": "RGB image", | 197 | "display_name": "RGB image", | ||
157 | "id": "e9b1c684-69af-491f-b582-0898d325720b", | 198 | "id": "e9b1c684-69af-491f-b582-0898d325720b", | ||
158 | "name": "RGB image", | 199 | "name": "RGB image", | ||
159 | "state": "active", | 200 | "state": "active", | ||
160 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
161 | }, | 202 | }, | ||
162 | { | 203 | { | ||
163 | "display_name": "Visual Odometry", | 204 | "display_name": "Visual Odometry", | ||
164 | "id": "ce8d51cd-12ca-4bca-b2bc-7d8cab580b7a", | 205 | "id": "ce8d51cd-12ca-4bca-b2bc-7d8cab580b7a", | ||
165 | "name": "Visual Odometry", | 206 | "name": "Visual Odometry", | ||
166 | "state": "active", | 207 | "state": "active", | ||
167 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
168 | }, | 209 | }, | ||
169 | { | 210 | { | ||
170 | "display_name": "depth estimation", | 211 | "display_name": "depth estimation", | ||
171 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | 212 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | ||
172 | "name": "depth estimation", | 213 | "name": "depth estimation", | ||
173 | "state": "active", | 214 | "state": "active", | ||
174 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
175 | }, | 216 | }, | ||
176 | { | 217 | { | ||
177 | "display_name": "depth map", | 218 | "display_name": "depth map", | ||
178 | "id": "47c36730-c402-451a-bec4-d1194996c398", | 219 | "id": "47c36730-c402-451a-bec4-d1194996c398", | ||
179 | "name": "depth map", | 220 | "name": "depth map", | ||
180 | "state": "active", | 221 | "state": "active", | ||
181 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
182 | }, | 223 | }, | ||
183 | { | 224 | { | ||
184 | "display_name": "depth regression", | 225 | "display_name": "depth regression", | ||
185 | "id": "fda0dcda-73b8-42af-a937-76169d52cecc", | 226 | "id": "fda0dcda-73b8-42af-a937-76169d52cecc", | ||
186 | "name": "depth regression", | 227 | "name": "depth regression", | ||
187 | "state": "active", | 228 | "state": "active", | ||
188 | "vocabulary_id": null | 229 | "vocabulary_id": null | ||
189 | }, | 230 | }, | ||
190 | { | 231 | { | ||
191 | "display_name": "depth super-resolution", | 232 | "display_name": "depth super-resolution", | ||
192 | "id": "1315140d-d7b1-47b3-8df9-0dc5f1ca2f64", | 233 | "id": "1315140d-d7b1-47b3-8df9-0dc5f1ca2f64", | ||
193 | "name": "depth super-resolution", | 234 | "name": "depth super-resolution", | ||
194 | "state": "active", | 235 | "state": "active", | ||
195 | "vocabulary_id": null | 236 | "vocabulary_id": null | ||
196 | }, | 237 | }, | ||
197 | { | 238 | { | ||
198 | "display_name": "monocular depth estimation", | 239 | "display_name": "monocular depth estimation", | ||
199 | "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd", | 240 | "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd", | ||
200 | "name": "monocular depth estimation", | 241 | "name": "monocular depth estimation", | ||
201 | "state": "active", | 242 | "state": "active", | ||
202 | "vocabulary_id": null | 243 | "vocabulary_id": null | ||
203 | }, | 244 | }, | ||
204 | { | 245 | { | ||
205 | "display_name": "semantic segmentation", | 246 | "display_name": "semantic segmentation", | ||
206 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 247 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
207 | "name": "semantic segmentation", | 248 | "name": "semantic segmentation", | ||
208 | "state": "active", | 249 | "state": "active", | ||
209 | "vocabulary_id": null | 250 | "vocabulary_id": null | ||
210 | }, | 251 | }, | ||
211 | { | 252 | { | ||
212 | "display_name": "single image", | 253 | "display_name": "single image", | ||
213 | "id": "a388f511-56bd-4b53-b3fb-011c750e5a38", | 254 | "id": "a388f511-56bd-4b53-b3fb-011c750e5a38", | ||
214 | "name": "single image", | 255 | "name": "single image", | ||
215 | "state": "active", | 256 | "state": "active", | ||
216 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
217 | } | 258 | } | ||
218 | ], | 259 | ], | ||
219 | "title": "NYUv2 dataset", | 260 | "title": "NYUv2 dataset", | ||
220 | "type": "dataset", | 261 | "type": "dataset", | ||
221 | "version": "" | 262 | "version": "" | ||
222 | } | 263 | } |