Changes
On December 2, 2024 at 10:08:29 PM UTC,
-
Changed title to Scannet (previously ScanNet)
-
Set author of Scannet to Kun Dai (previously Angela Dai)
-
Updated description of Scannet from
The ScanNet dataset contains 1.2K training samples and 312 validation samples annotated with per-point instances, semantic labels, and axis-aligned 3D bounding boxes belonging to 18 categories.
toThe dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.
-
Removed the following tags from Scannet
- stereo images
- Object Recognition
- RGB-D Scans
- 3D point clouds
- object manipulation
- indoor
- 3D Indoor Scene Understanding
- Visual Grounding
- depth images
- mobile manipulation
- 3D object recognition
- point cloud
- Indoor Scene Reconstruction
- Augmented Reality
- understanding
- image matching
- semantic mapping
- 3D
- Camera Poses
- 3D Semantic Segmentation
- 3D indoor scenes
- 3D Reconstructions
- large-scale dataset
- Indoor Scene Understanding
- Object Classification
- monocular vision
- segmentation
- 3D Scenes
- object recognition
- 3D models
- Computer Vision
- RGB-D Images
- monocular sequences
- 3D scene reconstruction
- 3D scene
- Indoor
- Robotics
- 3D object reconstruction
- Point Cloud Detection
- 3D Data
- semantic labels
- Indoor Scene Recognition
- RGBD
- scene segmentation
- point cloud data
- scene understanding
- computer vision
- Classification
- 3D Object Detection
- Point Clouds
- 3D Indoor Scenes
- Voxel-based Scenes
- Instance Segmentation
- Video Snippet
- poses
- Scene Classification
- 3D Models
- Multi-view
- 3D Point Clouds
- depth estimation
- Autonomous Driving
- RGB-D Videos
- Indoor scene understanding
- real scans
- indoor scenes
- indoor scene understanding
- ScanNet
- 3D scene understanding
- Semantic Segmentation
- 3D Scans
-
Added the following tags to Scannet
-
Changed value of field
extra_authors
to[{'extra_author': 'Tao Xie', 'orcid': ''}, {'extra_author': 'Ke Wang', 'orcid': ''}, {'extra_author': 'Zhiqiang Jiang', 'orcid': ''}, {'extra_author': 'Ruifeng Li', 'orcid': ''}, {'extra_author': 'Lijun Zhao', 'orcid': ''}]
in Scannet -
Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2207.07016
in Scannet -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2103.12091', 'https://doi.org/10.48550/arXiv.2311.18610', 'https://doi.org/10.48550/arXiv.1908.03364']
in Scannet -
Deleted resource Original Metadata from Scannet
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Angela Dai", | n | 3 | "author": "Kun Dai", |
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
n | 6 | "https://doi.org/10.48550/arXiv.2206.07710", | n | ||
7 | "https://doi.org/10.48550/arXiv.2004.04993", | ||||
8 | "https://doi.org/10.48550/arXiv.2305.13307", | ||||
9 | "https://doi.org/10.48550/arXiv.2310.01401", | ||||
10 | "https://doi.org/10.48550/arXiv.2308.07868", | ||||
11 | "https://doi.org/10.48550/arXiv.2306.05242", | ||||
12 | "https://doi.org/10.48550/arXiv.2407.10084", | ||||
13 | "https://doi.org/10.48550/arXiv.2312.03032", | ||||
14 | "https://doi.org/10.48550/arXiv.1908.06295", | ||||
15 | "https://doi.org/10.48550/arXiv.2404.06753", | ||||
16 | "https://doi.org/10.48550/arXiv.2203.01509", | ||||
17 | "https://doi.org/10.48550/arXiv.1901.09458", | ||||
18 | "https://doi.org/10.48550/arXiv.2105.06461", | ||||
19 | "https://doi.org/10.48550/arXiv.2405.17958", | ||||
20 | "https://doi.org/10.1145/3592131", | ||||
21 | "https://doi.org/10.48550/arXiv.2407.13642", | ||||
22 | "https://doi.org/10.48550/arXiv.1909.09287", | ||||
23 | "https://doi.org/10.48550/arXiv.2312.10390", | ||||
24 | "https://doi.org/10.48550/arXiv.2208.04309", | ||||
25 | "https://doi.org/10.48550/arXiv.2306.01923", | ||||
26 | "https://doi.org/10.48550/arXiv.2303.16646", | ||||
27 | "https://doi.org/10.48550/arXiv.2405.17176", | ||||
28 | "https://doi.org/10.48550/arXiv.2405.03221", | ||||
29 | "https://doi.org/10.48550/arXiv.2305.19201", | ||||
30 | "https://doi.org/10.48550/arXiv.2208.02879", | ||||
31 | "https://doi.org/10.48550/arXiv.2312.03026", | ||||
32 | "https://doi.org/10.48550/arXiv.2402.14464", | ||||
33 | "https://doi.org/10.48550/arXiv.1806.09573", | ||||
34 | "https://doi.org/10.48550/arXiv.2212.14197", | ||||
35 | "https://doi.org/10.48550/arXiv.1811.07246", | ||||
36 | "https://doi.org/10.48550/arXiv.2310.03420", | ||||
37 | "https://doi.org/10.48550/arXiv.2102.07373", | ||||
38 | "https://doi.org/10.48550/arXiv.2203.13318", | ||||
39 | "https://doi.org/10.48550/arXiv.2210.15107", | ||||
40 | "https://doi.org/10.48550/arXiv.2203.15245", | ||||
41 | "https://doi.org/10.48550/arXiv.2103.10339", | 6 | "https://doi.org/10.48550/arXiv.2103.12091", | ||
42 | "https://doi.org/10.48550/arXiv.2306.11051", | ||||
43 | "https://doi.org/10.48550/arXiv.2303.03361", | ||||
44 | "https://doi.org/10.48550/arXiv.1912.00145", | ||||
45 | "https://doi.org/10.48550/arXiv.2304.10179", | ||||
46 | "https://doi.org/10.48550/arXiv.2309.15702", | ||||
47 | "https://doi.org/10.1109/ICCVW.2019.00264", | ||||
48 | "https://doi.org/10.48550/arXiv.2403.07563", | ||||
49 | "https://doi.org/10.48550/arXiv.2311.12291", | 7 | "https://doi.org/10.48550/arXiv.2311.18610", | ||
50 | "https://doi.org/10.48550/arXiv.1906.08650" | 8 | "https://doi.org/10.48550/arXiv.1908.03364" | ||
51 | ], | 9 | ], | ||
52 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 53 | "defined_in": "https://doi.org/10.48550/arXiv.2405.12979", | n | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2207.07016", |
54 | "doi": "10.57702/yv5yc1z0", | 12 | "doi": "10.57702/yv5yc1z0", | ||
55 | "doi_date_published": "2024-11-25", | 13 | "doi_date_published": "2024-11-25", | ||
56 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
57 | "doi_status": true, | 15 | "doi_status": true, | ||
58 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
59 | "extra_authors": [ | 17 | "extra_authors": [ | ||
60 | { | 18 | { | ||
n | n | 19 | "extra_author": "Tao Xie", | ||
20 | "orcid": "" | ||||
21 | }, | ||||
22 | { | ||||
61 | "extra_author": "Angel X. Chang", | 23 | "extra_author": "Ke Wang", | ||
62 | "orcid": "" | 24 | "orcid": "" | ||
63 | }, | 25 | }, | ||
64 | { | 26 | { | ||
n | 65 | "extra_author": "Manolis Savva", | n | 27 | "extra_author": "Zhiqiang Jiang", |
66 | "orcid": "" | 28 | "orcid": "" | ||
67 | }, | 29 | }, | ||
68 | { | 30 | { | ||
n | 69 | "extra_author": "Maciej Halber", | n | 31 | "extra_author": "Ruifeng Li", |
70 | "orcid": "" | 32 | "orcid": "" | ||
71 | }, | 33 | }, | ||
72 | { | 34 | { | ||
n | 73 | "extra_author": "Thomas Funkhouser", | n | 35 | "extra_author": "Lijun Zhao", |
74 | "orcid": "" | ||||
75 | }, | ||||
76 | { | ||||
77 | "extra_author": "Matthias Nie\u00dfner", | ||||
78 | "orcid": "" | 36 | "orcid": "" | ||
79 | } | 37 | } | ||
80 | ], | 38 | ], | ||
81 | "groups": [ | 39 | "groups": [ | ||
n | 82 | { | n | ||
83 | "description": "", | ||||
84 | "display_name": "3D Data", | ||||
85 | "id": "75c2b2af-ff6b-4c10-9678-a19d3b6941ee", | ||||
86 | "image_display_url": "", | ||||
87 | "name": "3d-data", | ||||
88 | "title": "3D Data" | ||||
89 | }, | ||||
90 | { | ||||
91 | "description": "", | ||||
92 | "display_name": "3D Indoor Scene Understanding", | ||||
93 | "id": "1277aa66-82c9-4b25-afef-a65971caacd0", | ||||
94 | "image_display_url": "", | ||||
95 | "name": "3d-indoor-scene-understanding", | ||||
96 | "title": "3D Indoor Scene Understanding" | ||||
97 | }, | ||||
98 | { | ||||
99 | "description": "", | ||||
100 | "display_name": "3D Indoor Scenes", | ||||
101 | "id": "d412ff56-9507-4707-980b-d70904021eea", | ||||
102 | "image_display_url": "", | ||||
103 | "name": "3d-indoor-scenes", | ||||
104 | "title": "3D Indoor Scenes" | ||||
105 | }, | ||||
106 | { | ||||
107 | "description": "", | ||||
108 | "display_name": "3D Instance Segmentation", | ||||
109 | "id": "df7e5dbf-bb57-4ebd-a62f-f2a1b16d3ed3", | ||||
110 | "image_display_url": "", | ||||
111 | "name": "3d-instance-segmentation", | ||||
112 | "title": "3D Instance Segmentation" | ||||
113 | }, | ||||
114 | { | ||||
115 | "description": "", | ||||
116 | "display_name": "3D Object Detection", | ||||
117 | "id": "b9c5385e-2cc8-4698-95f2-a1528ebb0182", | ||||
118 | "image_display_url": "", | ||||
119 | "name": "3d-object-detection", | ||||
120 | "title": "3D Object Detection" | ||||
121 | }, | ||||
122 | { | ||||
123 | "description": "", | ||||
124 | "display_name": "3D Object Recognition", | ||||
125 | "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1", | ||||
126 | "image_display_url": "", | ||||
127 | "name": "3d-object-recognition", | ||||
128 | "title": "3D Object Recognition" | ||||
129 | }, | ||||
130 | { | ||||
131 | "description": "", | ||||
132 | "display_name": "3D Object Reconstruction", | ||||
133 | "id": "1501f86f-3b7f-42bd-a0f3-f53ac1414787", | ||||
134 | "image_display_url": "", | ||||
135 | "name": "3d-object-reconstruction", | ||||
136 | "title": "3D Object Reconstruction" | ||||
137 | }, | ||||
138 | { | ||||
139 | "description": "", | ||||
140 | "display_name": "3D Point Clouds", | ||||
141 | "id": "625c463b-8cb0-4180-af63-ed8448fb60dd", | ||||
142 | "image_display_url": "", | ||||
143 | "name": "3d-point-clouds", | ||||
144 | "title": "3D Point Clouds" | ||||
145 | }, | ||||
146 | { | 40 | { | ||
147 | "description": "", | 41 | "description": "", | ||
148 | "display_name": "3D Reconstruction", | 42 | "display_name": "3D Reconstruction", | ||
149 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | 43 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | ||
150 | "image_display_url": "", | 44 | "image_display_url": "", | ||
151 | "name": "3d-reconstruction", | 45 | "name": "3d-reconstruction", | ||
152 | "title": "3D Reconstruction" | 46 | "title": "3D Reconstruction" | ||
153 | }, | 47 | }, | ||
154 | { | 48 | { | ||
155 | "description": "", | 49 | "description": "", | ||
n | 156 | "display_name": "3D Scene Reconstruction", | n | ||
157 | "id": "b4a67da3-165a-4e82-a50e-49bccd9d92f9", | ||||
158 | "image_display_url": "", | ||||
159 | "name": "3d-scene-reconstruction", | ||||
160 | "title": "3D Scene Reconstruction" | ||||
161 | }, | ||||
162 | { | ||||
163 | "description": "", | ||||
164 | "display_name": "3D Scene Understanding", | 50 | "display_name": "3D Scene Understanding", | ||
165 | "id": "bbef9259-bb19-4e31-8610-6745016a53bc", | 51 | "id": "bbef9259-bb19-4e31-8610-6745016a53bc", | ||
166 | "image_display_url": "", | 52 | "image_display_url": "", | ||
167 | "name": "3d-scene-understanding", | 53 | "name": "3d-scene-understanding", | ||
168 | "title": "3D Scene Understanding" | 54 | "title": "3D Scene Understanding" | ||
169 | }, | 55 | }, | ||
170 | { | 56 | { | ||
171 | "description": "", | 57 | "description": "", | ||
n | 172 | "display_name": "3D Scenes", | n | ||
173 | "id": "2ffc9813-4a9c-4253-8e68-07ea417c2314", | ||||
174 | "image_display_url": "", | ||||
175 | "name": "3d-scenes", | ||||
176 | "title": "3D Scenes" | ||||
177 | }, | ||||
178 | { | ||||
179 | "description": "", | ||||
180 | "display_name": "3D Semantic Segmentation", | ||||
181 | "id": "4b4f04aa-d4f5-497c-87dc-f8c937d3e844", | ||||
182 | "image_display_url": "", | ||||
183 | "name": "3d-semantic-segmentation", | ||||
184 | "title": "3D Semantic Segmentation" | ||||
185 | }, | ||||
186 | { | ||||
187 | "description": "", | ||||
188 | "display_name": "3D Semantic Understanding", | ||||
189 | "id": "f9240e94-b5df-4ebd-b416-177741f8d89f", | ||||
190 | "image_display_url": "", | ||||
191 | "name": "3d-semantic-understanding", | ||||
192 | "title": "3D Semantic Understanding" | ||||
193 | }, | ||||
194 | { | ||||
195 | "description": "", | ||||
196 | "display_name": "Classification", | ||||
197 | "id": "57bb78f3-a48d-4716-a9cc-0028df74b1c5", | ||||
198 | "image_display_url": "", | ||||
199 | "name": "classification", | ||||
200 | "title": "Classification" | ||||
201 | }, | ||||
202 | { | ||||
203 | "description": "", | ||||
204 | "display_name": "Computer Vision", | 58 | "display_name": "Computer Vision", | ||
205 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 59 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
206 | "image_display_url": "", | 60 | "image_display_url": "", | ||
207 | "name": "computer-vision", | 61 | "name": "computer-vision", | ||
208 | "title": "Computer Vision" | 62 | "title": "Computer Vision" | ||
209 | }, | 63 | }, | ||
210 | { | 64 | { | ||
211 | "description": "", | 65 | "description": "", | ||
n | 212 | "display_name": "Depth Estimation", | n | ||
213 | "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", | ||||
214 | "image_display_url": "", | ||||
215 | "name": "depth-estimation", | ||||
216 | "title": "Depth Estimation" | ||||
217 | }, | ||||
218 | { | ||||
219 | "description": "", | ||||
220 | "display_name": "Indoor Scene Recognition", | ||||
221 | "id": "d8b3b22e-519e-44c7-95d4-e5cc5bdd7dc3", | ||||
222 | "image_display_url": "", | ||||
223 | "name": "indoor-scene-recognition", | ||||
224 | "title": "Indoor Scene Recognition" | ||||
225 | }, | ||||
226 | { | ||||
227 | "description": "", | ||||
228 | "display_name": "Indoor Scene Reconstruction", | 66 | "display_name": "Indoor Scene Reconstruction", | ||
229 | "id": "91936444-bc66-44e6-9a35-790c6130c384", | 67 | "id": "91936444-bc66-44e6-9a35-790c6130c384", | ||
230 | "image_display_url": "", | 68 | "image_display_url": "", | ||
231 | "name": "indoor-scene-reconstruction", | 69 | "name": "indoor-scene-reconstruction", | ||
232 | "title": "Indoor Scene Reconstruction" | 70 | "title": "Indoor Scene Reconstruction" | ||
233 | }, | 71 | }, | ||
234 | { | 72 | { | ||
235 | "description": "", | 73 | "description": "", | ||
n | 236 | "display_name": "Indoor Scene Understanding", | n | ||
237 | "id": "6f671b4b-0b4d-4fe1-9769-e31ab164e205", | ||||
238 | "image_display_url": "", | ||||
239 | "name": "indoor-scene-understanding", | ||||
240 | "title": "Indoor Scene Understanding" | ||||
241 | }, | ||||
242 | { | ||||
243 | "description": "", | ||||
244 | "display_name": "Indoor Scenes", | 74 | "display_name": "Indoor Scenes", | ||
245 | "id": "1cdde29d-6358-4f23-823c-0e7caad9ae2e", | 75 | "id": "1cdde29d-6358-4f23-823c-0e7caad9ae2e", | ||
246 | "image_display_url": "", | 76 | "image_display_url": "", | ||
247 | "name": "indoor-scenes", | 77 | "name": "indoor-scenes", | ||
248 | "title": "Indoor Scenes" | 78 | "title": "Indoor Scenes" | ||
249 | }, | 79 | }, | ||
250 | { | 80 | { | ||
251 | "description": "", | 81 | "description": "", | ||
n | 252 | "display_name": "Monocular Sequences", | n | ||
253 | "id": "0ec523a9-3a74-41ce-9cb0-8f35ab9f780d", | ||||
254 | "image_display_url": "", | ||||
255 | "name": "monocular-sequences", | ||||
256 | "title": "Monocular Sequences" | ||||
257 | }, | ||||
258 | { | ||||
259 | "description": "", | ||||
260 | "display_name": "Monocular Vision", | ||||
261 | "id": "9cf940eb-e2c0-4ddd-a103-3e91c84be459", | ||||
262 | "image_display_url": "", | ||||
263 | "name": "monocular-vision", | ||||
264 | "title": "Monocular Vision" | ||||
265 | }, | ||||
266 | { | ||||
267 | "description": "", | ||||
268 | "display_name": "Object Detection", | 82 | "display_name": "Object Detection", | ||
269 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 83 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
270 | "image_display_url": "", | 84 | "image_display_url": "", | ||
271 | "name": "object-detection", | 85 | "name": "object-detection", | ||
272 | "title": "Object Detection" | 86 | "title": "Object Detection" | ||
273 | }, | 87 | }, | ||
274 | { | 88 | { | ||
275 | "description": "", | 89 | "description": "", | ||
n | 276 | "display_name": "Object Manipulation", | n | ||
277 | "id": "e8df4193-2441-4a78-9510-6040d9962e08", | ||||
278 | "image_display_url": "", | ||||
279 | "name": "object-manipulation", | ||||
280 | "title": "Object Manipulation" | ||||
281 | }, | ||||
282 | { | ||||
283 | "description": "", | ||||
284 | "display_name": "Object Recognition", | ||||
285 | "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", | ||||
286 | "image_display_url": "", | ||||
287 | "name": "object-recognition", | ||||
288 | "title": "Object Recognition" | ||||
289 | }, | ||||
290 | { | ||||
291 | "description": "", | ||||
292 | "display_name": "RGB-D Videos", | ||||
293 | "id": "847ae5dc-0c8c-4d84-9632-22cc7ba0920c", | ||||
294 | "image_display_url": "", | ||||
295 | "name": "rgb-d-videos", | ||||
296 | "title": "RGB-D Videos" | ||||
297 | }, | ||||
298 | { | ||||
299 | "description": "", | ||||
300 | "display_name": "Scene Analysis", | ||||
301 | "id": "09b016b4-749a-4dc8-9af5-ef7f0035a0ef", | ||||
302 | "image_display_url": "", | ||||
303 | "name": "scene-analysis", | ||||
304 | "title": "Scene Analysis" | ||||
305 | }, | ||||
306 | { | ||||
307 | "description": "", | ||||
308 | "display_name": "Scene Segmentation", | ||||
309 | "id": "69266901-10c5-4367-b59e-e438f0dd6e34", | ||||
310 | "image_display_url": "", | ||||
311 | "name": "scene-segmentation", | ||||
312 | "title": "Scene Segmentation" | ||||
313 | }, | ||||
314 | { | ||||
315 | "description": "", | ||||
316 | "display_name": "Scene Understanding", | 90 | "display_name": "Scene Understanding", | ||
317 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | 91 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | ||
318 | "image_display_url": "", | 92 | "image_display_url": "", | ||
319 | "name": "scene-understanding", | 93 | "name": "scene-understanding", | ||
320 | "title": "Scene Understanding" | 94 | "title": "Scene Understanding" | ||
n | 321 | }, | n | ||
322 | { | ||||
323 | "description": "", | ||||
324 | "display_name": "Semantic Segmentation", | ||||
325 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||||
326 | "image_display_url": "", | ||||
327 | "name": "semantic-segmentation", | ||||
328 | "title": "Semantic Segmentation" | ||||
329 | } | 95 | } | ||
330 | ], | 96 | ], | ||
331 | "id": "239f4ce8-1dc9-4466-9fb6-fbb172bfb839", | 97 | "id": "239f4ce8-1dc9-4466-9fb6-fbb172bfb839", | ||
332 | "isopen": false, | 98 | "isopen": false, | ||
333 | "landing_page": "https://www.scannet.org/", | 99 | "landing_page": "https://www.scannet.org/", | ||
334 | "license_title": null, | 100 | "license_title": null, | ||
335 | "link_orkg": "", | 101 | "link_orkg": "", | ||
336 | "metadata_created": "2024-11-25T15:03:48.405672", | 102 | "metadata_created": "2024-11-25T15:03:48.405672", | ||
n | 337 | "metadata_modified": "2024-12-02T17:50:24.818081", | n | 103 | "metadata_modified": "2024-12-02T22:08:28.312594", |
338 | "name": "scannet", | 104 | "name": "scannet", | ||
n | 339 | "notes": "The ScanNet dataset contains 1.2K training samples and 312 | n | 105 | "notes": "The dataset used for training and testing the proposed |
340 | validation samples annotated with per-point instances, semantic | 106 | RGBD-based obstacle avoidance system for visually impaired people.", | ||
341 | labels, and axis-aligned 3D bounding boxes belonging to 18 | ||||
342 | categories.", | ||||
343 | "num_resources": 1, | 107 | "num_resources": 0, | ||
344 | "num_tags": 79, | 108 | "num_tags": 13, | ||
345 | "organization": { | 109 | "organization": { | ||
346 | "approval_status": "approved", | 110 | "approval_status": "approved", | ||
347 | "created": "2024-11-25T12:11:38.292601", | 111 | "created": "2024-11-25T12:11:38.292601", | ||
348 | "description": "", | 112 | "description": "", | ||
349 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 113 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
350 | "image_url": "", | 114 | "image_url": "", | ||
351 | "is_organization": true, | 115 | "is_organization": true, | ||
352 | "name": "no-organization", | 116 | "name": "no-organization", | ||
353 | "state": "active", | 117 | "state": "active", | ||
354 | "title": "No Organization", | 118 | "title": "No Organization", | ||
355 | "type": "organization" | 119 | "type": "organization" | ||
356 | }, | 120 | }, | ||
357 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 121 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
358 | "private": false, | 122 | "private": false, | ||
359 | "relationships_as_object": [], | 123 | "relationships_as_object": [], | ||
360 | "relationships_as_subject": [], | 124 | "relationships_as_subject": [], | ||
n | 361 | "resources": [ | n | 125 | "resources": [], |
362 | { | ||||
363 | "cache_last_updated": null, | ||||
364 | "cache_url": null, | ||||
365 | "created": "2024-12-02T18:38:42", | ||||
366 | "data": [ | ||||
367 | "dcterms:title", | ||||
368 | "dcterms:accessRights", | ||||
369 | "dcterms:creator", | ||||
370 | "dcterms:description", | ||||
371 | "dcterms:issued", | ||||
372 | "dcterms:language", | ||||
373 | "dcterms:identifier", | ||||
374 | "dcat:theme", | ||||
375 | "dcterms:type", | ||||
376 | "dcat:keyword", | ||||
377 | "dcat:landingPage", | ||||
378 | "dcterms:hasVersion", | ||||
379 | "dcterms:format", | ||||
380 | "mls:task", | ||||
381 | "datacite:isDescribedBy" | ||||
382 | ], | ||||
383 | "description": "The json representation of the dataset with its | ||||
384 | distributions based on DCAT.", | ||||
385 | "format": "JSON", | ||||
386 | "hash": "", | ||||
387 | "id": "f05f22e6-7825-41e8-8e9d-b454bcbd0514", | ||||
388 | "last_modified": "2024-12-02T17:50:24.798809", | ||||
389 | "metadata_modified": "2024-12-02T17:50:24.820934", | ||||
390 | "mimetype": "application/json", | ||||
391 | "mimetype_inner": null, | ||||
392 | "name": "Original Metadata", | ||||
393 | "package_id": "239f4ce8-1dc9-4466-9fb6-fbb172bfb839", | ||||
394 | "position": 0, | ||||
395 | "resource_type": null, | ||||
396 | "size": 5034, | ||||
397 | "state": "active", | ||||
398 | "url": | ||||
399 | resource/f05f22e6-7825-41e8-8e9d-b454bcbd0514/download/metadata.json", | ||||
400 | "url_type": "upload" | ||||
401 | } | ||||
402 | ], | ||||
403 | "services_used_list": "", | 126 | "services_used_list": "", | ||
404 | "state": "active", | 127 | "state": "active", | ||
405 | "tags": [ | 128 | "tags": [ | ||
406 | { | 129 | { | ||
n | 407 | "display_name": "3D", | n | ||
408 | "id": "c98a3ca2-e5c9-4173-93fb-420e0b48e9d8", | ||||
409 | "name": "3D", | ||||
410 | "state": "active", | ||||
411 | "vocabulary_id": null | ||||
412 | }, | ||||
413 | { | ||||
414 | "display_name": "3D Data", | ||||
415 | "id": "32e47093-3554-42d9-a29d-e76162a3c240", | ||||
416 | "name": "3D Data", | ||||
417 | "state": "active", | ||||
418 | "vocabulary_id": null | ||||
419 | }, | ||||
420 | { | ||||
421 | "display_name": "3D Indoor Scene Understanding", | ||||
422 | "id": "cb581899-5746-460a-87a7-f7c25d15a40e", | ||||
423 | "name": "3D Indoor Scene Understanding", | ||||
424 | "state": "active", | ||||
425 | "vocabulary_id": null | ||||
426 | }, | ||||
427 | { | ||||
428 | "display_name": "3D Indoor Scenes", | ||||
429 | "id": "a8335ce6-d9fc-493d-abcd-4a4a714feff6", | ||||
430 | "name": "3D Indoor Scenes", | ||||
431 | "state": "active", | ||||
432 | "vocabulary_id": null | ||||
433 | }, | ||||
434 | { | ||||
435 | "display_name": "3D Models", | ||||
436 | "id": "c8bc62a3-c36d-4af0-8ab9-77b2dca2dfe5", | ||||
437 | "name": "3D Models", | ||||
438 | "state": "active", | ||||
439 | "vocabulary_id": null | ||||
440 | }, | ||||
441 | { | ||||
442 | "display_name": "3D Object Detection", | ||||
443 | "id": "fb2b0721-3175-4d9d-9481-9032ddee2dfa", | ||||
444 | "name": "3D Object Detection", | ||||
445 | "state": "active", | ||||
446 | "vocabulary_id": null | ||||
447 | }, | ||||
448 | { | ||||
449 | "display_name": "3D Point Clouds", | ||||
450 | "id": "55c31270-45cd-40ec-8846-a614fb63a2a8", | ||||
451 | "name": "3D Point Clouds", | ||||
452 | "state": "active", | ||||
453 | "vocabulary_id": null | ||||
454 | }, | ||||
455 | { | ||||
456 | "display_name": "3D Reconstruction", | 130 | "display_name": "3D Reconstruction", | ||
457 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | 131 | "id": "4473ef66-a566-4165-a64e-4f56362435fb", | ||
458 | "name": "3D Reconstruction", | 132 | "name": "3D Reconstruction", | ||
459 | "state": "active", | 133 | "state": "active", | ||
460 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
461 | }, | 135 | }, | ||
462 | { | 136 | { | ||
n | 463 | "display_name": "3D Reconstructions", | n | ||
464 | "id": "7f2ea407-6342-4f68-8ed4-d425c0903956", | ||||
465 | "name": "3D Reconstructions", | ||||
466 | "state": "active", | ||||
467 | "vocabulary_id": null | ||||
468 | }, | ||||
469 | { | ||||
470 | "display_name": "3D Scans", | ||||
471 | "id": "3a20f5a6-d551-4e65-b177-74ea3887a801", | ||||
472 | "name": "3D Scans", | ||||
473 | "state": "active", | ||||
474 | "vocabulary_id": null | ||||
475 | }, | ||||
476 | { | ||||
477 | "display_name": "3D Scene Understanding", | 137 | "display_name": "3D Scene Understanding", | ||
478 | "id": "9cfd0d9e-9ee3-4a0f-9007-8dc737ac6c90", | 138 | "id": "9cfd0d9e-9ee3-4a0f-9007-8dc737ac6c90", | ||
479 | "name": "3D Scene Understanding", | 139 | "name": "3D Scene Understanding", | ||
480 | "state": "active", | 140 | "state": "active", | ||
481 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
482 | }, | 142 | }, | ||
483 | { | 143 | { | ||
n | 484 | "display_name": "3D Scenes", | n | ||
485 | "id": "90b53c8f-c514-4e99-b939-35a17da343d4", | ||||
486 | "name": "3D Scenes", | ||||
487 | "state": "active", | ||||
488 | "vocabulary_id": null | ||||
489 | }, | ||||
490 | { | ||||
491 | "display_name": "3D Semantic Segmentation", | ||||
492 | "id": "7245263b-4c8a-4bd1-9505-22587d1611ff", | ||||
493 | "name": "3D Semantic Segmentation", | ||||
494 | "state": "active", | ||||
495 | "vocabulary_id": null | ||||
496 | }, | ||||
497 | { | ||||
498 | "display_name": "3D indoor scenes", | ||||
499 | "id": "f71aa6bd-f05e-4af9-837a-3913fb607730", | ||||
500 | "name": "3D indoor scenes", | ||||
501 | "state": "active", | ||||
502 | "vocabulary_id": null | ||||
503 | }, | ||||
504 | { | ||||
505 | "display_name": "3D models", | ||||
506 | "id": "75cde2b8-d53c-464b-9568-ef8c4b8a458a", | ||||
507 | "name": "3D models", | ||||
508 | "state": "active", | ||||
509 | "vocabulary_id": null | ||||
510 | }, | ||||
511 | { | ||||
512 | "display_name": "3D object recognition", | ||||
513 | "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1", | ||||
514 | "name": "3D object recognition", | ||||
515 | "state": "active", | ||||
516 | "vocabulary_id": null | ||||
517 | }, | ||||
518 | { | ||||
519 | "display_name": "3D object reconstruction", | ||||
520 | "id": "f5d9cdf0-8fd8-4516-b7cb-f8223e5b49dd", | ||||
521 | "name": "3D object reconstruction", | ||||
522 | "state": "active", | ||||
523 | "vocabulary_id": null | ||||
524 | }, | ||||
525 | { | ||||
526 | "display_name": "3D point clouds", | ||||
527 | "id": "e22aae26-2501-4985-9fc3-736bae572c9e", | ||||
528 | "name": "3D point clouds", | ||||
529 | "state": "active", | ||||
530 | "vocabulary_id": null | ||||
531 | }, | ||||
532 | { | ||||
533 | "display_name": "3D reconstruction", | 144 | "display_name": "3D reconstruction", | ||
534 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | 145 | "id": "0004a2f2-abb9-4633-ae9b-500f9d6f21f8", | ||
535 | "name": "3D reconstruction", | 146 | "name": "3D reconstruction", | ||
536 | "state": "active", | 147 | "state": "active", | ||
537 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
538 | }, | 149 | }, | ||
539 | { | 150 | { | ||
n | 540 | "display_name": "3D scene", | n | ||
541 | "id": "1278810e-ccd8-4827-9b8c-865f4374f37b", | ||||
542 | "name": "3D scene", | ||||
543 | "state": "active", | ||||
544 | "vocabulary_id": null | ||||
545 | }, | ||||
546 | { | ||||
547 | "display_name": "3D scene reconstruction", | ||||
548 | "id": "a929ddfe-9b11-4599-ae94-96ab050e92b5", | ||||
549 | "name": "3D scene reconstruction", | ||||
550 | "state": "active", | ||||
551 | "vocabulary_id": null | ||||
552 | }, | ||||
553 | { | ||||
554 | "display_name": "3D scene understanding", | ||||
555 | "id": "f87410d6-d763-43a3-86ee-16172a5dcaee", | ||||
556 | "name": "3D scene understanding", | ||||
557 | "state": "active", | ||||
558 | "vocabulary_id": null | ||||
559 | }, | ||||
560 | { | ||||
561 | "display_name": "Augmented Reality", | ||||
562 | "id": "5749345a-07a3-4be0-8515-4158e5aaf247", | ||||
563 | "name": "Augmented Reality", | ||||
564 | "state": "active", | ||||
565 | "vocabulary_id": null | ||||
566 | }, | ||||
567 | { | ||||
568 | "display_name": "Autonomous Driving", | ||||
569 | "id": "53b128b7-eb10-42a0-92e8-4b087d983174", | ||||
570 | "name": "Autonomous Driving", | ||||
571 | "state": "active", | ||||
572 | "vocabulary_id": null | ||||
573 | }, | ||||
574 | { | ||||
575 | "display_name": "Camera Poses", | ||||
576 | "id": "3753b8b9-6ce1-4ef4-a56c-4630c2387b48", | ||||
577 | "name": "Camera Poses", | ||||
578 | "state": "active", | ||||
579 | "vocabulary_id": null | ||||
580 | }, | ||||
581 | { | ||||
582 | "display_name": "Classification", | ||||
583 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||||
584 | "name": "Classification", | ||||
585 | "state": "active", | ||||
586 | "vocabulary_id": null | ||||
587 | }, | ||||
588 | { | ||||
589 | "display_name": "Computer Vision", | ||||
590 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||||
591 | "name": "Computer Vision", | ||||
592 | "state": "active", | ||||
593 | "vocabulary_id": null | ||||
594 | }, | ||||
595 | { | ||||
596 | "display_name": "Indoor", | ||||
597 | "id": "26efaea7-e150-47c9-879a-3a60fdd95875", | ||||
598 | "name": "Indoor", | ||||
599 | "state": "active", | ||||
600 | "vocabulary_id": null | ||||
601 | }, | ||||
602 | { | ||||
603 | "display_name": "Indoor Scene Recognition", | ||||
604 | "id": "6bdc9dbd-4707-41e9-98a6-64a92f62cb38", | ||||
605 | "name": "Indoor Scene Recognition", | ||||
606 | "state": "active", | ||||
607 | "vocabulary_id": null | ||||
608 | }, | ||||
609 | { | ||||
610 | "display_name": "Indoor Scene Reconstruction", | ||||
611 | "id": "bf81eb22-218e-48ab-beab-561bb9b92a79", | ||||
612 | "name": "Indoor Scene Reconstruction", | ||||
613 | "state": "active", | ||||
614 | "vocabulary_id": null | ||||
615 | }, | ||||
616 | { | ||||
617 | "display_name": "Indoor Scene Understanding", | ||||
618 | "id": "a8ea8f4b-57e4-4976-8014-1efd58e75334", | ||||
619 | "name": "Indoor Scene Understanding", | ||||
620 | "state": "active", | ||||
621 | "vocabulary_id": null | ||||
622 | }, | ||||
623 | { | ||||
624 | "display_name": "Indoor Scenes", | 151 | "display_name": "Indoor Scenes", | ||
625 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | 152 | "id": "347c5737-e536-45b4-8044-796b0a7dc8f4", | ||
626 | "name": "Indoor Scenes", | 153 | "name": "Indoor Scenes", | ||
627 | "state": "active", | 154 | "state": "active", | ||
628 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
629 | }, | 156 | }, | ||
630 | { | 157 | { | ||
n | 631 | "display_name": "Indoor scene understanding", | n | ||
632 | "id": "8cf78b01-6d57-409d-b607-b6c8cf31d32b", | ||||
633 | "name": "Indoor scene understanding", | ||||
634 | "state": "active", | ||||
635 | "vocabulary_id": null | ||||
636 | }, | ||||
637 | { | ||||
638 | "display_name": "Instance Segmentation", | ||||
639 | "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", | ||||
640 | "name": "Instance Segmentation", | ||||
641 | "state": "active", | ||||
642 | "vocabulary_id": null | ||||
643 | }, | ||||
644 | { | ||||
645 | "display_name": "Multi-view", | ||||
646 | "id": "fec0d687-8af4-474a-8c24-5a2909aeffbe", | ||||
647 | "name": "Multi-view", | ||||
648 | "state": "active", | ||||
649 | "vocabulary_id": null | ||||
650 | }, | ||||
651 | { | ||||
652 | "display_name": "Object Classi\ufb01cation", | ||||
653 | "id": "fa16e756-2685-4dc4-8d0b-42f1f0d7676b", | ||||
654 | "name": "Object Classi\ufb01cation", | ||||
655 | "state": "active", | ||||
656 | "vocabulary_id": null | ||||
657 | }, | ||||
658 | { | ||||
659 | "display_name": "Object Detection", | 158 | "display_name": "Object Detection", | ||
660 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 159 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
661 | "name": "Object Detection", | 160 | "name": "Object Detection", | ||
662 | "state": "active", | 161 | "state": "active", | ||
663 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
664 | }, | 163 | }, | ||
665 | { | 164 | { | ||
n | 666 | "display_name": "Object Recognition", | n | ||
667 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | ||||
668 | "name": "Object Recognition", | ||||
669 | "state": "active", | ||||
670 | "vocabulary_id": null | ||||
671 | }, | ||||
672 | { | ||||
673 | "display_name": "Point Cloud Detection", | ||||
674 | "id": "d63729b7-6a21-490c-9213-e1f255888641", | ||||
675 | "name": "Point Cloud Detection", | ||||
676 | "state": "active", | ||||
677 | "vocabulary_id": null | ||||
678 | }, | ||||
679 | { | ||||
680 | "display_name": "Point Clouds", | ||||
681 | "id": "cd5e5c68-6deb-4e83-b810-0756f3961446", | ||||
682 | "name": "Point Clouds", | ||||
683 | "state": "active", | ||||
684 | "vocabulary_id": null | ||||
685 | }, | ||||
686 | { | ||||
687 | "display_name": "RGB-D", | 165 | "display_name": "RGB-D", | ||
688 | "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", | 166 | "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", | ||
689 | "name": "RGB-D", | 167 | "name": "RGB-D", | ||
690 | "state": "active", | 168 | "state": "active", | ||
691 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
692 | }, | 170 | }, | ||
693 | { | 171 | { | ||
n | 694 | "display_name": "RGB-D Images", | n | ||
695 | "id": "06d030ad-e824-4170-9e14-baca54959f49", | ||||
696 | "name": "RGB-D Images", | ||||
697 | "state": "active", | ||||
698 | "vocabulary_id": null | ||||
699 | }, | ||||
700 | { | ||||
701 | "display_name": "RGB-D Scans", | ||||
702 | "id": "9c3c8c4a-fdb1-473b-ae7d-01e3f504894b", | ||||
703 | "name": "RGB-D Scans", | ||||
704 | "state": "active", | ||||
705 | "vocabulary_id": null | ||||
706 | }, | ||||
707 | { | ||||
708 | "display_name": "RGB-D Videos", | ||||
709 | "id": "bca733ec-61e1-4cab-8b5d-fd42347c2825", | ||||
710 | "name": "RGB-D Videos", | ||||
711 | "state": "active", | ||||
712 | "vocabulary_id": null | ||||
713 | }, | ||||
714 | { | ||||
715 | "display_name": "RGB-D images", | 172 | "display_name": "RGB-D images", | ||
716 | "id": "0142224b-2a4c-41f0-b175-f8010e77c556", | 173 | "id": "0142224b-2a4c-41f0-b175-f8010e77c556", | ||
717 | "name": "RGB-D images", | 174 | "name": "RGB-D images", | ||
718 | "state": "active", | 175 | "state": "active", | ||
719 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
720 | }, | 177 | }, | ||
721 | { | 178 | { | ||
n | 722 | "display_name": "RGBD", | n | ||
723 | "id": "5fc4363a-91e9-41a1-a0b4-a9ecf0982c90", | ||||
724 | "name": "RGBD", | ||||
725 | "state": "active", | ||||
726 | "vocabulary_id": null | ||||
727 | }, | ||||
728 | { | ||||
729 | "display_name": "Robotics", | ||||
730 | "id": "0fcef179-db62-45e8-b041-f80fc4af5f19", | ||||
731 | "name": "Robotics", | ||||
732 | "state": "active", | ||||
733 | "vocabulary_id": null | ||||
734 | }, | ||||
735 | { | ||||
736 | "display_name": "ScanNet", | 179 | "display_name": "Scannet", | ||
737 | "id": "7d644041-616d-44ba-8c6f-2679ae208bb4", | 180 | "id": "92998e40-4892-441a-999f-8746a4ca8e6f", | ||
738 | "name": "ScanNet", | 181 | "name": "Scannet", | ||
739 | "state": "active", | 182 | "state": "active", | ||
740 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
741 | }, | 184 | }, | ||
742 | { | 185 | { | ||
n | 743 | "display_name": "Scene Classification", | n | 186 | "display_name": "Scans", |
744 | "id": "469ec5ef-5ed9-4ddc-8eba-9d8eba833076", | 187 | "id": "67f2cb5a-d434-4da9-a96b-85f08b51685e", | ||
745 | "name": "Scene Classification", | 188 | "name": "Scans", | ||
746 | "state": "active", | 189 | "state": "active", | ||
747 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
748 | }, | 191 | }, | ||
749 | { | 192 | { | ||
750 | "display_name": "Scene Understanding", | 193 | "display_name": "Scene Understanding", | ||
751 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | 194 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||
752 | "name": "Scene Understanding", | 195 | "name": "Scene Understanding", | ||
753 | "state": "active", | 196 | "state": "active", | ||
754 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
755 | }, | 198 | }, | ||
756 | { | 199 | { | ||
n | 757 | "display_name": "Semantic Segmentation", | n | ||
758 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||||
759 | "name": "Semantic Segmentation", | ||||
760 | "state": "active", | ||||
761 | "vocabulary_id": null | ||||
762 | }, | ||||
763 | { | ||||
764 | "display_name": "Video Snippet", | ||||
765 | "id": "d674eac3-3597-461e-bdb8-87c0571fe4b0", | ||||
766 | "name": "Video Snippet", | ||||
767 | "state": "active", | ||||
768 | "vocabulary_id": null | ||||
769 | }, | ||||
770 | { | ||||
771 | "display_name": "Visual Grounding", | ||||
772 | "id": "82dad3b4-e1c2-47b9-9aa8-dc78c0274934", | ||||
773 | "name": "Visual Grounding", | ||||
774 | "state": "active", | ||||
775 | "vocabulary_id": null | ||||
776 | }, | ||||
777 | { | ||||
778 | "display_name": "Voxel-based Scenes", | ||||
779 | "id": "3435b04c-a8ae-48a3-8dee-aab7b9ef7025", | ||||
780 | "name": "Voxel-based Scenes", | ||||
781 | "state": "active", | ||||
782 | "vocabulary_id": null | ||||
783 | }, | ||||
784 | { | ||||
785 | "display_name": "computer vision", | ||||
786 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | ||||
787 | "name": "computer vision", | ||||
788 | "state": "active", | ||||
789 | "vocabulary_id": null | ||||
790 | }, | ||||
791 | { | ||||
792 | "display_name": "depth estimation", | ||||
793 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | ||||
794 | "name": "depth estimation", | ||||
795 | "state": "active", | ||||
796 | "vocabulary_id": null | ||||
797 | }, | ||||
798 | { | ||||
799 | "display_name": "depth images", | 200 | "display_name": "ground-truth poses", | ||
800 | "id": "589c28de-8401-4803-8cb6-b46c39d73dcc", | 201 | "id": "d38024cd-d9b8-41d6-ba2f-3a0155fb25bb", | ||
801 | "name": "depth images", | 202 | "name": "ground-truth poses", | ||
802 | "state": "active", | ||||
803 | "vocabulary_id": null | ||||
804 | }, | ||||
805 | { | ||||
806 | "display_name": "image matching", | ||||
807 | "id": "941d5b3d-48d3-44c9-9529-7666b0aec81c", | ||||
808 | "name": "image matching", | ||||
809 | "state": "active", | ||||
810 | "vocabulary_id": null | ||||
811 | }, | ||||
812 | { | ||||
813 | "display_name": "indoor", | ||||
814 | "id": "6e9bd880-03e3-4012-b961-78941f1435c0", | ||||
815 | "name": "indoor", | ||||
816 | "state": "active", | 203 | "state": "active", | ||
817 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
818 | }, | 205 | }, | ||
819 | { | 206 | { | ||
820 | "display_name": "indoor scene", | 207 | "display_name": "indoor scene", | ||
821 | "id": "6ea936b7-33d6-416a-9639-c65133309404", | 208 | "id": "6ea936b7-33d6-416a-9639-c65133309404", | ||
822 | "name": "indoor scene", | 209 | "name": "indoor scene", | ||
823 | "state": "active", | 210 | "state": "active", | ||
824 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
825 | }, | 212 | }, | ||
826 | { | 213 | { | ||
n | 827 | "display_name": "indoor scene understanding", | n | ||
828 | "id": "09081b59-cdf6-41ee-9ce4-939ea1045586", | ||||
829 | "name": "indoor scene understanding", | ||||
830 | "state": "active", | ||||
831 | "vocabulary_id": null | ||||
832 | }, | ||||
833 | { | ||||
834 | "display_name": "indoor scenes", | ||||
835 | "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f", | ||||
836 | "name": "indoor scenes", | ||||
837 | "state": "active", | ||||
838 | "vocabulary_id": null | ||||
839 | }, | ||||
840 | { | ||||
841 | "display_name": "large-scale dataset", | ||||
842 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||||
843 | "name": "large-scale dataset", | ||||
844 | "state": "active", | ||||
845 | "vocabulary_id": null | ||||
846 | }, | ||||
847 | { | ||||
848 | "display_name": "mobile manipulation", | ||||
849 | "id": "f06b740c-425b-4ccd-b230-46bf5490390e", | ||||
850 | "name": "mobile manipulation", | ||||
851 | "state": "active", | ||||
852 | "vocabulary_id": null | ||||
853 | }, | ||||
854 | { | ||||
855 | "display_name": "monocular sequences", | ||||
856 | "id": "7d8f73f2-4a98-4965-b2fc-132121782a61", | ||||
857 | "name": "monocular sequences", | ||||
858 | "state": "active", | ||||
859 | "vocabulary_id": null | ||||
860 | }, | ||||
861 | { | ||||
862 | "display_name": "monocular vision", | ||||
863 | "id": "4a1b42c2-bc18-4b0f-bbf3-5c453bebed3b", | ||||
864 | "name": "monocular vision", | ||||
865 | "state": "active", | ||||
866 | "vocabulary_id": null | ||||
867 | }, | ||||
868 | { | ||||
869 | "display_name": "object manipulation", | ||||
870 | "id": "7982e325-2a38-4ce1-b8e7-7ca43a0376f4", | ||||
871 | "name": "object manipulation", | ||||
872 | "state": "active", | ||||
873 | "vocabulary_id": null | ||||
874 | }, | ||||
875 | { | ||||
876 | "display_name": "object recognition", | ||||
877 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | ||||
878 | "name": "object recognition", | ||||
879 | "state": "active", | ||||
880 | "vocabulary_id": null | ||||
881 | }, | ||||
882 | { | ||||
883 | "display_name": "point cloud", | ||||
884 | "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19", | ||||
885 | "name": "point cloud", | ||||
886 | "state": "active", | ||||
887 | "vocabulary_id": null | ||||
888 | }, | ||||
889 | { | ||||
890 | "display_name": "point cloud data", | ||||
891 | "id": "2072985c-8377-4acd-9d25-57a4830b9664", | ||||
892 | "name": "point cloud data", | ||||
893 | "state": "active", | ||||
894 | "vocabulary_id": null | ||||
895 | }, | ||||
896 | { | ||||
897 | "display_name": "poses", | ||||
898 | "id": "f2595e7c-4791-42fe-b42b-273552c610ee", | ||||
899 | "name": "poses", | ||||
900 | "state": "active", | ||||
901 | "vocabulary_id": null | ||||
902 | }, | ||||
903 | { | ||||
904 | "display_name": "real scans", | ||||
905 | "id": "d9d5381e-dde0-4938-8b1e-cad20c8178e6", | ||||
906 | "name": "real scans", | ||||
907 | "state": "active", | ||||
908 | "vocabulary_id": null | ||||
909 | }, | ||||
910 | { | ||||
911 | "display_name": "scene segmentation", | ||||
912 | "id": "94db0e66-2f29-4c88-bc8d-63001457117a", | ||||
913 | "name": "scene segmentation", | ||||
914 | "state": "active", | ||||
915 | "vocabulary_id": null | ||||
916 | }, | ||||
917 | { | ||||
918 | "display_name": "scene understanding", | ||||
919 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | ||||
920 | "name": "scene understanding", | ||||
921 | "state": "active", | ||||
922 | "vocabulary_id": null | ||||
923 | }, | ||||
924 | { | ||||
925 | "display_name": "segmentation", | ||||
926 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||||
927 | "name": "segmentation", | ||||
928 | "state": "active", | ||||
929 | "vocabulary_id": null | ||||
930 | }, | ||||
931 | { | ||||
932 | "display_name": "semantic labels", | ||||
933 | "id": "bb5e3c7e-238d-4740-9b9b-adcfee58feea", | ||||
934 | "name": "semantic labels", | ||||
935 | "state": "active", | ||||
936 | "vocabulary_id": null | ||||
937 | }, | ||||
938 | { | ||||
939 | "display_name": "semantic mapping", | ||||
940 | "id": "75ba1d45-c664-43c6-8a36-bd2e8ed944b2", | ||||
941 | "name": "semantic mapping", | ||||
942 | "state": "active", | ||||
943 | "vocabulary_id": null | ||||
944 | }, | ||||
945 | { | ||||
946 | "display_name": "stereo images", | ||||
947 | "id": "710f3486-4ead-4428-97d9-d3fa8f90bea4", | ||||
948 | "name": "stereo images", | ||||
949 | "state": "active", | ||||
950 | "vocabulary_id": null | ||||
951 | }, | ||||
952 | { | ||||
953 | "display_name": "understanding", | 214 | "display_name": "scanning", | ||
954 | "id": "08af4a45-f67e-4d3a-a8d5-c03e8bb54291", | 215 | "id": "13b6e2c4-edcb-4e86-92d0-499e934ca685", | ||
955 | "name": "understanding", | 216 | "name": "scanning", | ||
956 | "state": "active", | 217 | "state": "active", | ||
957 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
958 | } | 219 | } | ||
959 | ], | 220 | ], | ||
t | 960 | "title": "ScanNet", | t | 221 | "title": "Scannet", |
961 | "type": "dataset", | 222 | "type": "dataset", | ||
962 | "version": "" | 223 | "version": "" | ||
963 | } | 224 | } |