Changes
On December 3, 2024 at 9:24:56 AM UTC, admin:
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Changed title to TUM RGB-D Dataset (previously TUM RGB-D dataset)
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Set author of TUM RGB-D Dataset to J. Sturm (previously Xingyu Chen)
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Updated description of TUM RGB-D Dataset from
The TUM RGB-D dataset is a collection of RGB-D images and depth maps of various scenes, including indoor and outdoor environments.
toA benchmark for the evaluation of RGB-D SLAM systems.
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Removed the following tags from TUM RGB-D Dataset
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Added tag Benchmark to TUM RGB-D Dataset
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2405.11129
in TUM RGB-D Dataset -
Changed value of field
extra_authors
to[{'extra_author': 'N. Engelhard', 'orcid': ''}, {'extra_author': 'F. Endres', 'orcid': ''}, {'extra_author': 'W. Burgard', 'orcid': ''}, {'extra_author': 'D. Cremers', 'orcid': ''}]
in TUM RGB-D Dataset -
Changed value of field
landing_page
tohttps://www.cv.uni-ml.de/projects/tum-rbdataset/
in TUM RGB-D Dataset -
Deleted resource Original Metadata from TUM RGB-D Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Xingyu Chen", | n | 3 | "author": "J. Sturm", |
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2103.12352", | n | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2405.11129", |
8 | "doi": "10.57702/ep7718s7", | 8 | "doi": "10.57702/ep7718s7", | ||
9 | "doi_date_published": "2024-12-02", | 9 | "doi_date_published": "2024-12-02", | ||
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
11 | "doi_status": true, | 11 | "doi_status": true, | ||
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
n | 15 | "extra_author": "Jianru Xue", | n | 15 | "extra_author": "N. Engelhard", |
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
n | 19 | "extra_author": "Jianwu Fang", | n | 19 | "extra_author": "F. Endres", |
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
n | 23 | "extra_author": "Yuxin Pan", | n | 23 | "extra_author": "W. Burgard", |
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
n | 27 | "extra_author": "Nanning Zheng", | n | 27 | "extra_author": "D. Cremers", |
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
n | 34 | "display_name": "3D Reconstruction", | n | 34 | "display_name": "Benchmarking", |
35 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | 35 | "id": "87ddb657-b4dd-43ab-91dd-3ea19d62c2c7", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
n | 37 | "name": "3d-reconstruction", | n | 37 | "name": "benchmarking", |
38 | "title": "3D Reconstruction" | 38 | "title": "Benchmarking" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
n | 42 | "display_name": "Computer Vision", | n | 42 | "display_name": "RGB-D SLAM", |
43 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 43 | "id": "5a40639f-a32d-4845-940f-47da6cc2cea5", | ||
44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
n | 45 | "name": "computer-vision", | n | ||
46 | "title": "Computer Vision" | ||||
47 | }, | ||||
48 | { | ||||
49 | "description": "", | ||||
50 | "display_name": "Object Recognition", | ||||
51 | "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", | ||||
52 | "image_display_url": "", | ||||
53 | "name": "object-recognition", | ||||
54 | "title": "Object Recognition" | ||||
55 | }, | ||||
56 | { | ||||
57 | "description": "", | ||||
58 | "display_name": "SLAM", | ||||
59 | "id": "2b36228f-d0f7-438c-9411-5b80591360a3", | ||||
60 | "image_display_url": "", | ||||
61 | "name": "slam", | 45 | "name": "rgb-d-slam", | ||
62 | "title": "SLAM" | 46 | "title": "RGB-D SLAM" | ||
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": "Visual SLAM", | ||||
75 | "id": "66e2d7c0-0d92-4e93-9889-92224a871ec6", | ||||
76 | "image_display_url": "", | ||||
77 | "name": "visual-slam", | ||||
78 | "title": "Visual SLAM" | ||||
79 | } | 47 | } | ||
80 | ], | 48 | ], | ||
81 | "id": "a9c0717a-e5fa-45bc-9fa2-e41300e8d34a", | 49 | "id": "a9c0717a-e5fa-45bc-9fa2-e41300e8d34a", | ||
82 | "isopen": false, | 50 | "isopen": false, | ||
n | 83 | "landing_page": "https://www.cvl.ethz.ch/vision/rgb-d-dataset.html", | n | 51 | "landing_page": "https://www.cv.uni-ml.de/projects/tum-rbdataset/", |
84 | "license_title": null, | 52 | "license_title": null, | ||
85 | "link_orkg": "", | 53 | "link_orkg": "", | ||
86 | "metadata_created": "2024-12-02T23:25:11.391616", | 54 | "metadata_created": "2024-12-02T23:25:11.391616", | ||
n | 87 | "metadata_modified": "2024-12-02T23:25:11.881936", | n | 55 | "metadata_modified": "2024-12-03T09:24:55.780899", |
88 | "name": "tum-rgb-d-dataset", | 56 | "name": "tum-rgb-d-dataset", | ||
n | 89 | "notes": "The TUM RGB-D dataset is a collection of RGB-D images and | n | 57 | "notes": "A benchmark for the evaluation of RGB-D SLAM systems.", |
90 | depth maps of various scenes, including indoor and outdoor | ||||
91 | environments.", | ||||
92 | "num_resources": 1, | 58 | "num_resources": 0, | ||
93 | "num_tags": 7, | 59 | "num_tags": 3, | ||
94 | "organization": { | 60 | "organization": { | ||
95 | "approval_status": "approved", | 61 | "approval_status": "approved", | ||
96 | "created": "2024-11-25T12:11:38.292601", | 62 | "created": "2024-11-25T12:11:38.292601", | ||
97 | "description": "", | 63 | "description": "", | ||
98 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 64 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
99 | "image_url": "", | 65 | "image_url": "", | ||
100 | "is_organization": true, | 66 | "is_organization": true, | ||
101 | "name": "no-organization", | 67 | "name": "no-organization", | ||
102 | "state": "active", | 68 | "state": "active", | ||
103 | "title": "No Organization", | 69 | "title": "No Organization", | ||
104 | "type": "organization" | 70 | "type": "organization" | ||
105 | }, | 71 | }, | ||
106 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 72 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
107 | "private": false, | 73 | "private": false, | ||
108 | "relationships_as_object": [], | 74 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 75 | "relationships_as_subject": [], | ||
n | 110 | "resources": [ | n | 76 | "resources": [], |
111 | { | ||||
112 | "cache_last_updated": null, | ||||
113 | "cache_url": null, | ||||
114 | "created": "2024-12-03T00:20:35", | ||||
115 | "data": [ | ||||
116 | "dcterms:title", | ||||
117 | "dcterms:accessRights", | ||||
118 | "dcterms:creator", | ||||
119 | "dcterms:description", | ||||
120 | "dcterms:issued", | ||||
121 | "dcterms:language", | ||||
122 | "dcterms:identifier", | ||||
123 | "dcat:theme", | ||||
124 | "dcterms:type", | ||||
125 | "dcat:keyword", | ||||
126 | "dcat:landingPage", | ||||
127 | "dcterms:hasVersion", | ||||
128 | "dcterms:format", | ||||
129 | "mls:task", | ||||
130 | "datacite:isDescribedBy" | ||||
131 | ], | ||||
132 | "description": "The json representation of the dataset with its | ||||
133 | distributions based on DCAT.", | ||||
134 | "format": "JSON", | ||||
135 | "hash": "", | ||||
136 | "id": "f0a34dd1-932a-4b0a-870a-d10db0e7178e", | ||||
137 | "last_modified": "2024-12-02T23:25:11.873384", | ||||
138 | "metadata_modified": "2024-12-02T23:25:11.884832", | ||||
139 | "mimetype": "application/json", | ||||
140 | "mimetype_inner": null, | ||||
141 | "name": "Original Metadata", | ||||
142 | "package_id": "a9c0717a-e5fa-45bc-9fa2-e41300e8d34a", | ||||
143 | "position": 0, | ||||
144 | "resource_type": null, | ||||
145 | "size": 1028, | ||||
146 | "state": "active", | ||||
147 | "url": | ||||
148 | resource/f0a34dd1-932a-4b0a-870a-d10db0e7178e/download/metadata.json", | ||||
149 | "url_type": "upload" | ||||
150 | } | ||||
151 | ], | ||||
152 | "services_used_list": "", | 77 | "services_used_list": "", | ||
153 | "state": "active", | 78 | "state": "active", | ||
154 | "tags": [ | 79 | "tags": [ | ||
155 | { | 80 | { | ||
n | 156 | "display_name": "3D reconstruction", | n | ||
157 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | ||||
158 | "name": "3D reconstruction", | ||||
159 | "state": "active", | ||||
160 | "vocabulary_id": null | ||||
161 | }, | ||||
162 | { | ||||
163 | "display_name": "Computer Vision", | ||||
164 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||||
165 | "name": "Computer Vision", | ||||
166 | "state": "active", | ||||
167 | "vocabulary_id": null | ||||
168 | }, | ||||
169 | { | ||||
170 | "display_name": "Depth Map", | 81 | "display_name": "Benchmark", | ||
171 | "id": "6e4c85d9-46cd-4c68-96ef-5a2c1e9502b8", | 82 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | ||
172 | "name": "Depth Map", | 83 | "name": "Benchmark", | ||
173 | "state": "active", | 84 | "state": "active", | ||
174 | "vocabulary_id": null | 85 | "vocabulary_id": null | ||
175 | }, | 86 | }, | ||
176 | { | 87 | { | ||
177 | "display_name": "RGB-D", | 88 | "display_name": "RGB-D", | ||
178 | "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", | 89 | "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", | ||
179 | "name": "RGB-D", | 90 | "name": "RGB-D", | ||
180 | "state": "active", | 91 | "state": "active", | ||
181 | "vocabulary_id": null | 92 | "vocabulary_id": null | ||
182 | }, | 93 | }, | ||
183 | { | 94 | { | ||
184 | "display_name": "SLAM", | 95 | "display_name": "SLAM", | ||
185 | "id": "b6655942-62a4-4d0b-91ee-da64b392d3a0", | 96 | "id": "b6655942-62a4-4d0b-91ee-da64b392d3a0", | ||
186 | "name": "SLAM", | 97 | "name": "SLAM", | ||
187 | "state": "active", | 98 | "state": "active", | ||
188 | "vocabulary_id": null | 99 | "vocabulary_id": null | ||
n | 189 | }, | n | ||
190 | { | ||||
191 | "display_name": "Scene Understanding", | ||||
192 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||||
193 | "name": "Scene Understanding", | ||||
194 | "state": "active", | ||||
195 | "vocabulary_id": null | ||||
196 | }, | ||||
197 | { | ||||
198 | "display_name": "Visual SLAM", | ||||
199 | "id": "0ee169af-b76e-4fcb-bb27-a39e0c5e86ad", | ||||
200 | "name": "Visual SLAM", | ||||
201 | "state": "active", | ||||
202 | "vocabulary_id": null | ||||
203 | } | 100 | } | ||
204 | ], | 101 | ], | ||
t | 205 | "title": "TUM RGB-D dataset", | t | 102 | "title": "TUM RGB-D Dataset", |
206 | "type": "dataset", | 103 | "type": "dataset", | ||
207 | "version": "" | 104 | "version": "" | ||
208 | } | 105 | } |