Changes
On December 2, 2024 at 9:50:48 PM UTC, admin:
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Changed title to Replica dataset (previously Replica Dataset)
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Set author of Replica dataset to Kenneth Blomqvist (previously Rui Yu)
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Updated description of Replica dataset from
The Replica Dataset is a digital replica of indoor spaces. It contains 90% images for training and 10% images for evaluation.
toThe Replica dataset provides real-world scenes which we use to evaluate and compare our approach with related work. The dataset consists of high quality 3D reconstructions of 5 offices and 3 apartments.
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Removed the following tags from Replica dataset
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Added the following tags to Replica dataset
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2210.13641
in Replica dataset -
Changed value of field
extra_authors
to[{'extra_author': 'Lionel Ott', 'orcid': ''}, {'extra_author': 'Jen Jen Chung', 'orcid': ''}, {'extra_author': 'Roland Siegwart', 'orcid': ''}]
in Replica dataset -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2103.05842', 'https://doi.org/10.48550/arXiv.2103.12352', 'https://doi.org/10.48550/arXiv.2209.12744']
in Replica dataset -
Deleted resource Original Metadata from Replica dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Rui Yu", | n | 3 | "author": "Kenneth Blomqvist", |
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
n | 6 | "https://doi.org/10.48550/arXiv.2103.08468", | n | 6 | "https://doi.org/10.48550/arXiv.2103.05842", |
7 | "https://doi.org/10.48550/arXiv.2407.10084", | 7 | "https://doi.org/10.48550/arXiv.2103.12352", | ||
8 | "https://doi.org/10.48550/arXiv.2309.13240", | 8 | "https://doi.org/10.48550/arXiv.2209.12744" | ||
9 | "https://doi.org/10.48550/arXiv.2211.08658", | ||||
10 | "https://doi.org/10.48550/arXiv.2402.09944", | ||||
11 | "https://doi.org/10.48550/arXiv.2405.11129" | ||||
12 | ], | 9 | ], | ||
13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 14 | "defined_in": "https://doi.org/10.48550/arXiv.2308.07032", | n | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2210.13641", |
15 | "doi": "10.57702/vzpbaaf9", | 12 | "doi": "10.57702/vzpbaaf9", | ||
16 | "doi_date_published": "2024-12-02", | 13 | "doi_date_published": "2024-12-02", | ||
17 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
18 | "doi_status": true, | 15 | "doi_status": true, | ||
19 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
20 | "extra_authors": [ | 17 | "extra_authors": [ | ||
21 | { | 18 | { | ||
n | 22 | "extra_author": "Jiachen Liu", | n | 19 | "extra_author": "Lionel Ott", |
23 | "orcid": "" | 20 | "orcid": "" | ||
24 | }, | 21 | }, | ||
25 | { | 22 | { | ||
n | 26 | "extra_author": "Zihan Zhou", | n | 23 | "extra_author": "Jen Jen Chung", |
27 | "orcid": "" | 24 | "orcid": "" | ||
28 | }, | 25 | }, | ||
29 | { | 26 | { | ||
n | 30 | "extra_author": "Sharon X. Huang", | n | 27 | "extra_author": "Roland Siegwart", |
31 | "orcid": "" | 28 | "orcid": "" | ||
32 | } | 29 | } | ||
33 | ], | 30 | ], | ||
34 | "groups": [ | 31 | "groups": [ | ||
35 | { | 32 | { | ||
36 | "description": "", | 33 | "description": "", | ||
37 | "display_name": "3D Reconstruction", | 34 | "display_name": "3D Reconstruction", | ||
38 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | 35 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | ||
39 | "image_display_url": "", | 36 | "image_display_url": "", | ||
40 | "name": "3d-reconstruction", | 37 | "name": "3d-reconstruction", | ||
41 | "title": "3D Reconstruction" | 38 | "title": "3D Reconstruction" | ||
42 | }, | 39 | }, | ||
43 | { | 40 | { | ||
44 | "description": "", | 41 | "description": "", | ||
n | 45 | "display_name": "Computer Vision", | n | ||
46 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||||
47 | "image_display_url": "", | ||||
48 | "name": "computer-vision", | ||||
49 | "title": "Computer Vision" | ||||
50 | }, | ||||
51 | { | ||||
52 | "description": "", | ||||
53 | "display_name": "Depth Estimation", | ||||
54 | "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", | ||||
55 | "image_display_url": "", | ||||
56 | "name": "depth-estimation", | ||||
57 | "title": "Depth Estimation" | ||||
58 | }, | ||||
59 | { | ||||
60 | "description": "", | ||||
61 | "display_name": "Digital Replicas", | ||||
62 | "id": "3a46a104-5ffa-4b81-bef8-3423b8b6128e", | ||||
63 | "image_display_url": "", | ||||
64 | "name": "digital-replicas", | ||||
65 | "title": "Digital Replicas" | ||||
66 | }, | ||||
67 | { | ||||
68 | "description": "", | ||||
69 | "display_name": "Indoor Scene Reconstruction", | ||||
70 | "id": "91936444-bc66-44e6-9a35-790c6130c384", | ||||
71 | "image_display_url": "", | ||||
72 | "name": "indoor-scene-reconstruction", | ||||
73 | "title": "Indoor Scene Reconstruction" | ||||
74 | }, | ||||
75 | { | ||||
76 | "description": "", | ||||
77 | "display_name": "Indoor Scene Understanding", | ||||
78 | "id": "6f671b4b-0b4d-4fe1-9769-e31ab164e205", | ||||
79 | "image_display_url": "", | ||||
80 | "name": "indoor-scene-understanding", | ||||
81 | "title": "Indoor Scene Understanding" | ||||
82 | }, | ||||
83 | { | ||||
84 | "description": "", | ||||
85 | "display_name": "Indoor Scenes", | ||||
86 | "id": "1cdde29d-6358-4f23-823c-0e7caad9ae2e", | ||||
87 | "image_display_url": "", | ||||
88 | "name": "indoor-scenes", | ||||
89 | "title": "Indoor Scenes" | ||||
90 | }, | ||||
91 | { | ||||
92 | "description": "", | ||||
93 | "display_name": "Indoor Spaces", | 42 | "display_name": "Indoor Spaces", | ||
94 | "id": "afbf33f0-3a80-49e7-8114-8516a85b4f4b", | 43 | "id": "afbf33f0-3a80-49e7-8114-8516a85b4f4b", | ||
95 | "image_display_url": "", | 44 | "image_display_url": "", | ||
96 | "name": "indoor-spaces", | 45 | "name": "indoor-spaces", | ||
97 | "title": "Indoor Spaces" | 46 | "title": "Indoor Spaces" | ||
n | n | 47 | }, | ||
48 | { | ||||
49 | "description": "", | ||||
50 | "display_name": "SLAM", | ||||
51 | "id": "2b36228f-d0f7-438c-9411-5b80591360a3", | ||||
52 | "image_display_url": "", | ||||
53 | "name": "slam", | ||||
54 | "title": "SLAM" | ||||
55 | }, | ||||
56 | { | ||||
57 | "description": "", | ||||
58 | "display_name": "Scene Reconstruction", | ||||
59 | "id": "28b29716-5cb6-4d1f-a5d7-16621004a4e2", | ||||
60 | "image_display_url": "", | ||||
61 | "name": "scene-reconstruction", | ||||
62 | "title": "Scene Reconstruction" | ||||
63 | }, | ||||
64 | { | ||||
65 | "description": "", | ||||
66 | "display_name": "Scene Understanding", | ||||
67 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | ||||
68 | "image_display_url": "", | ||||
69 | "name": "scene-understanding", | ||||
70 | "title": "Scene Understanding" | ||||
71 | }, | ||||
72 | { | ||||
73 | "description": "", | ||||
74 | "display_name": "Virtual Reality", | ||||
75 | "id": "16a3bcc0-9e42-464f-b5ae-eb03239a1789", | ||||
76 | "image_display_url": "", | ||||
77 | "name": "virtual-reality", | ||||
78 | "title": "Virtual Reality" | ||||
98 | } | 79 | } | ||
99 | ], | 80 | ], | ||
100 | "id": "d601979c-8a45-4cf2-8c8f-6473ae9ee639", | 81 | "id": "d601979c-8a45-4cf2-8c8f-6473ae9ee639", | ||
101 | "isopen": false, | 82 | "isopen": false, | ||
102 | "landing_page": "https://arxiv.org/abs/1906.05797", | 83 | "landing_page": "https://arxiv.org/abs/1906.05797", | ||
103 | "license_title": null, | 84 | "license_title": null, | ||
104 | "link_orkg": "", | 85 | "link_orkg": "", | ||
105 | "metadata_created": "2024-12-02T18:12:05.309175", | 86 | "metadata_created": "2024-12-02T18:12:05.309175", | ||
n | 106 | "metadata_modified": "2024-12-02T18:12:05.685823", | n | 87 | "metadata_modified": "2024-12-02T21:50:47.204516", |
107 | "name": "replica-dataset", | 88 | "name": "replica-dataset", | ||
n | 108 | "notes": "The Replica Dataset is a digital replica of indoor spaces. | n | 89 | "notes": "The Replica dataset provides real-world scenes which we |
109 | It contains 90% images for training and 10% images for evaluation.", | 90 | use to evaluate and compare our approach with related work. The | ||
91 | dataset consists of high quality 3D reconstructions of 5 offices and 3 | ||||
92 | apartments.", | ||||
110 | "num_resources": 1, | 93 | "num_resources": 0, | ||
111 | "num_tags": 11, | 94 | "num_tags": 10, | ||
112 | "organization": { | 95 | "organization": { | ||
113 | "approval_status": "approved", | 96 | "approval_status": "approved", | ||
114 | "created": "2024-11-25T12:11:38.292601", | 97 | "created": "2024-11-25T12:11:38.292601", | ||
115 | "description": "", | 98 | "description": "", | ||
116 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 99 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
117 | "image_url": "", | 100 | "image_url": "", | ||
118 | "is_organization": true, | 101 | "is_organization": true, | ||
119 | "name": "no-organization", | 102 | "name": "no-organization", | ||
120 | "state": "active", | 103 | "state": "active", | ||
121 | "title": "No Organization", | 104 | "title": "No Organization", | ||
122 | "type": "organization" | 105 | "type": "organization" | ||
123 | }, | 106 | }, | ||
124 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 107 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
125 | "private": false, | 108 | "private": false, | ||
126 | "relationships_as_object": [], | 109 | "relationships_as_object": [], | ||
127 | "relationships_as_subject": [], | 110 | "relationships_as_subject": [], | ||
n | 128 | "resources": [ | n | 111 | "resources": [], |
129 | { | ||||
130 | "cache_last_updated": null, | ||||
131 | "cache_url": null, | ||||
132 | "created": "2024-12-02T18:38:42", | ||||
133 | "data": [ | ||||
134 | "dcterms:title", | ||||
135 | "dcterms:accessRights", | ||||
136 | "dcterms:creator", | ||||
137 | "dcterms:description", | ||||
138 | "dcterms:issued", | ||||
139 | "dcterms:language", | ||||
140 | "dcterms:identifier", | ||||
141 | "dcat:theme", | ||||
142 | "dcterms:type", | ||||
143 | "dcat:keyword", | ||||
144 | "dcat:landingPage", | ||||
145 | "dcterms:hasVersion", | ||||
146 | "dcterms:format", | ||||
147 | "mls:task", | ||||
148 | "datacite:isDescribedBy" | ||||
149 | ], | ||||
150 | "description": "The json representation of the dataset with its | ||||
151 | distributions based on DCAT.", | ||||
152 | "format": "JSON", | ||||
153 | "hash": "", | ||||
154 | "id": "a4a9994d-60f3-458c-9950-fe0256e38d19", | ||||
155 | "last_modified": "2024-12-02T18:12:05.676981", | ||||
156 | "metadata_modified": "2024-12-02T18:12:05.688600", | ||||
157 | "mimetype": "application/json", | ||||
158 | "mimetype_inner": null, | ||||
159 | "name": "Original Metadata", | ||||
160 | "package_id": "d601979c-8a45-4cf2-8c8f-6473ae9ee639", | ||||
161 | "position": 0, | ||||
162 | "resource_type": null, | ||||
163 | "size": 1384, | ||||
164 | "state": "active", | ||||
165 | "url": | ||||
166 | resource/a4a9994d-60f3-458c-9950-fe0256e38d19/download/metadata.json", | ||||
167 | "url_type": "upload" | ||||
168 | } | ||||
169 | ], | ||||
170 | "services_used_list": "", | 112 | "services_used_list": "", | ||
171 | "state": "active", | 113 | "state": "active", | ||
172 | "tags": [ | 114 | "tags": [ | ||
173 | { | 115 | { | ||
n | 174 | "display_name": "3D Reconstruction", | n | ||
175 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | ||||
176 | "name": "3D Reconstruction", | ||||
177 | "state": "active", | ||||
178 | "vocabulary_id": null | ||||
179 | }, | ||||
180 | { | ||||
181 | "display_name": "3D reconstruction", | 116 | "display_name": "3D reconstruction", | ||
182 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | 117 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | ||
183 | "name": "3D reconstruction", | 118 | "name": "3D reconstruction", | ||
n | 184 | "state": "active", | n | ||
185 | "vocabulary_id": null | ||||
186 | }, | ||||
187 | { | ||||
188 | "display_name": "Computer Vision", | ||||
189 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||||
190 | "name": "Computer Vision", | ||||
191 | "state": "active", | ||||
192 | "vocabulary_id": null | ||||
193 | }, | ||||
194 | { | ||||
195 | "display_name": "Depth Estimation", | ||||
196 | "id": "559df65c-baac-4373-9e7e-6732051e61ec", | ||||
197 | "name": "Depth Estimation", | ||||
198 | "state": "active", | ||||
199 | "vocabulary_id": null | ||||
200 | }, | ||||
201 | { | ||||
202 | "display_name": "Digital Replica", | ||||
203 | "id": "3a92ac00-ee66-4902-ba86-408f1ebdb9bc", | ||||
204 | "name": "Digital Replica", | ||||
205 | "state": "active", | ||||
206 | "vocabulary_id": null | ||||
207 | }, | ||||
208 | { | ||||
209 | "display_name": "Digital Replicas", | ||||
210 | "id": "ba384ee7-f9f4-47c8-af96-2816e98a2694", | ||||
211 | "name": "Digital Replicas", | ||||
212 | "state": "active", | ||||
213 | "vocabulary_id": null | ||||
214 | }, | ||||
215 | { | ||||
216 | "display_name": "Indoor Scene Reconstruction", | ||||
217 | "id": "bf81eb22-218e-48ab-beab-561bb9b92a79", | ||||
218 | "name": "Indoor Scene Reconstruction", | ||||
219 | "state": "active", | ||||
220 | "vocabulary_id": null | ||||
221 | }, | ||||
222 | { | ||||
223 | "display_name": "Indoor Scenes", | ||||
224 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | ||||
225 | "name": "Indoor Scenes", | ||||
226 | "state": "active", | 119 | "state": "active", | ||
227 | "vocabulary_id": null | 120 | "vocabulary_id": null | ||
228 | }, | 121 | }, | ||
229 | { | 122 | { | ||
230 | "display_name": "Indoor Spaces", | 123 | "display_name": "Indoor Spaces", | ||
231 | "id": "aed25751-685a-491a-8d1e-8ed12039f9a9", | 124 | "id": "aed25751-685a-491a-8d1e-8ed12039f9a9", | ||
232 | "name": "Indoor Spaces", | 125 | "name": "Indoor Spaces", | ||
233 | "state": "active", | 126 | "state": "active", | ||
234 | "vocabulary_id": null | 127 | "vocabulary_id": null | ||
235 | }, | 128 | }, | ||
236 | { | 129 | { | ||
n | n | 130 | "display_name": "RGB-D data", | ||
131 | "id": "ee18400c-664a-41f8-a368-99b1b06b7026", | ||||
132 | "name": "RGB-D data", | ||||
133 | "state": "active", | ||||
134 | "vocabulary_id": null | ||||
135 | }, | ||||
136 | { | ||||
137 | "display_name": "Replica", | ||||
138 | "id": "2e65485d-32f8-4001-a324-8cdcc0488353", | ||||
139 | "name": "Replica", | ||||
140 | "state": "active", | ||||
141 | "vocabulary_id": null | ||||
142 | }, | ||||
143 | { | ||||
237 | "display_name": "SLAM", | 144 | "display_name": "SLAM", | ||
238 | "id": "b6655942-62a4-4d0b-91ee-da64b392d3a0", | 145 | "id": "b6655942-62a4-4d0b-91ee-da64b392d3a0", | ||
239 | "name": "SLAM", | 146 | "name": "SLAM", | ||
240 | "state": "active", | 147 | "state": "active", | ||
241 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
242 | }, | 149 | }, | ||
243 | { | 150 | { | ||
n | n | 151 | "display_name": "Virtual Reality", | ||
152 | "id": "fcfacc21-b458-4ef3-8546-750218b57efb", | ||||
153 | "name": "Virtual Reality", | ||||
154 | "state": "active", | ||||
155 | "vocabulary_id": null | ||||
156 | }, | ||||
157 | { | ||||
158 | "display_name": "monocular SLAM", | ||||
159 | "id": "161b5d0d-dca4-4547-8382-8aa839e059a2", | ||||
160 | "name": "monocular SLAM", | ||||
161 | "state": "active", | ||||
162 | "vocabulary_id": null | ||||
163 | }, | ||||
164 | { | ||||
165 | "display_name": "room-scale environments", | ||||
166 | "id": "be2ed9aa-d086-4f3e-b5bd-fdb18b09f83a", | ||||
167 | "name": "room-scale environments", | ||||
168 | "state": "active", | ||||
169 | "vocabulary_id": null | ||||
170 | }, | ||||
171 | { | ||||
172 | "display_name": "scene reconstruction", | ||||
173 | "id": "7b75071e-2729-4da2-be78-e6d0f745987c", | ||||
174 | "name": "scene reconstruction", | ||||
175 | "state": "active", | ||||
176 | "vocabulary_id": null | ||||
177 | }, | ||||
178 | { | ||||
244 | "display_name": "indoor scene understanding", | 179 | "display_name": "scene understanding", | ||
245 | "id": "09081b59-cdf6-41ee-9ce4-939ea1045586", | 180 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | ||
246 | "name": "indoor scene understanding", | 181 | "name": "scene understanding", | ||
247 | "state": "active", | 182 | "state": "active", | ||
248 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
249 | } | 184 | } | ||
250 | ], | 185 | ], | ||
t | 251 | "title": "Replica Dataset", | t | 186 | "title": "Replica dataset", |
252 | "type": "dataset", | 187 | "type": "dataset", | ||
253 | "version": "" | 188 | "version": "" | ||
254 | } | 189 | } |