Changes
On December 3, 2024 at 7:49:51 AM UTC, admin:
-
Added resource Original Metadata to WoodScape
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Michal U\u02c7ri\u02c7c\u00b4a\u02c7r", | 3 | "author": "Michal U\u02c7ri\u02c7c\u00b4a\u02c7r", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2407.16647", | 6 | "https://doi.org/10.48550/arXiv.2407.16647", | ||
7 | "https://doi.org/10.48550/arXiv.2305.00079" | 7 | "https://doi.org/10.48550/arXiv.2305.00079" | ||
8 | ], | 8 | ], | ||
9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
10 | "defined_in": "https://doi.org/10.48550/arXiv.1912.02249", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.1912.02249", | ||
11 | "doi": "10.57702/csum2b61", | 11 | "doi": "10.57702/csum2b61", | ||
12 | "doi_date_published": "2024-12-02", | 12 | "doi_date_published": "2024-12-02", | ||
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
14 | "doi_status": true, | 14 | "doi_status": true, | ||
15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
17 | { | 17 | { | ||
18 | "extra_author": "Ganesh Sistu", | 18 | "extra_author": "Ganesh Sistu", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | }, | 20 | }, | ||
21 | { | 21 | { | ||
22 | "extra_author": "Hazem Rashed", | 22 | "extra_author": "Hazem Rashed", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "extra_author": "Anton\u00b4\u0131n Vobeck\u00b4y", | 26 | "extra_author": "Anton\u00b4\u0131n Vobeck\u00b4y", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "extra_author": "Varun Ravi Kumar", | 30 | "extra_author": "Varun Ravi Kumar", | ||
31 | "orcid": "" | 31 | "orcid": "" | ||
32 | }, | 32 | }, | ||
33 | { | 33 | { | ||
34 | "extra_author": "Pavel K\u02c7r\u00b4\u0131\u02c7zek", | 34 | "extra_author": "Pavel K\u02c7r\u00b4\u0131\u02c7zek", | ||
35 | "orcid": "" | 35 | "orcid": "" | ||
36 | }, | 36 | }, | ||
37 | { | 37 | { | ||
38 | "extra_author": "Fabian B\u00a8urger", | 38 | "extra_author": "Fabian B\u00a8urger", | ||
39 | "orcid": "" | 39 | "orcid": "" | ||
40 | }, | 40 | }, | ||
41 | { | 41 | { | ||
42 | "extra_author": "Senthil Yogamani", | 42 | "extra_author": "Senthil Yogamani", | ||
43 | "orcid": "" | 43 | "orcid": "" | ||
44 | } | 44 | } | ||
45 | ], | 45 | ], | ||
46 | "groups": [ | 46 | "groups": [ | ||
47 | { | 47 | { | ||
48 | "description": "", | 48 | "description": "", | ||
49 | "display_name": "Autonomous Vehicles", | 49 | "display_name": "Autonomous Vehicles", | ||
50 | "id": "bd12ae6e-93f3-4bba-b980-043a24582ca6", | 50 | "id": "bd12ae6e-93f3-4bba-b980-043a24582ca6", | ||
51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
52 | "name": "autonomous-vehicles", | 52 | "name": "autonomous-vehicles", | ||
53 | "title": "Autonomous Vehicles" | 53 | "title": "Autonomous Vehicles" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "display_name": "Autonomous driving", | 57 | "display_name": "Autonomous driving", | ||
58 | "id": "db6a68ea-b1a7-4925-ac55-1d0495c226d8", | 58 | "id": "db6a68ea-b1a7-4925-ac55-1d0495c226d8", | ||
59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
60 | "name": "autonomous-driving", | 60 | "name": "autonomous-driving", | ||
61 | "title": "Autonomous driving" | 61 | "title": "Autonomous driving" | ||
62 | }, | 62 | }, | ||
63 | { | 63 | { | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "display_name": "Computer Vision", | 65 | "display_name": "Computer Vision", | ||
66 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 66 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
68 | "name": "computer-vision", | 68 | "name": "computer-vision", | ||
69 | "title": "Computer Vision" | 69 | "title": "Computer Vision" | ||
70 | }, | 70 | }, | ||
71 | { | 71 | { | ||
72 | "description": "", | 72 | "description": "", | ||
73 | "display_name": "Fisheye Cameras", | 73 | "display_name": "Fisheye Cameras", | ||
74 | "id": "03641a46-017c-4ccb-bbe9-a3d610e8ddbb", | 74 | "id": "03641a46-017c-4ccb-bbe9-a3d610e8ddbb", | ||
75 | "image_display_url": "", | 75 | "image_display_url": "", | ||
76 | "name": "fisheye-cameras", | 76 | "name": "fisheye-cameras", | ||
77 | "title": "Fisheye Cameras" | 77 | "title": "Fisheye Cameras" | ||
78 | }, | 78 | }, | ||
79 | { | 79 | { | ||
80 | "description": "", | 80 | "description": "", | ||
81 | "display_name": "Fisheye Images", | 81 | "display_name": "Fisheye Images", | ||
82 | "id": "f82ae0f8-7fa4-45d3-ab4d-8bc42b52f0f0", | 82 | "id": "f82ae0f8-7fa4-45d3-ab4d-8bc42b52f0f0", | ||
83 | "image_display_url": "", | 83 | "image_display_url": "", | ||
84 | "name": "fisheye-images", | 84 | "name": "fisheye-images", | ||
85 | "title": "Fisheye Images" | 85 | "title": "Fisheye Images" | ||
86 | }, | 86 | }, | ||
87 | { | 87 | { | ||
88 | "description": "", | 88 | "description": "", | ||
89 | "display_name": "Semantic Segmentation", | 89 | "display_name": "Semantic Segmentation", | ||
90 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 90 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
91 | "image_display_url": "", | 91 | "image_display_url": "", | ||
92 | "name": "semantic-segmentation", | 92 | "name": "semantic-segmentation", | ||
93 | "title": "Semantic Segmentation" | 93 | "title": "Semantic Segmentation" | ||
94 | } | 94 | } | ||
95 | ], | 95 | ], | ||
96 | "id": "fe62b2d1-d402-4373-9226-b8a94404388e", | 96 | "id": "fe62b2d1-d402-4373-9226-b8a94404388e", | ||
97 | "isopen": false, | 97 | "isopen": false, | ||
98 | "landing_page": "https://github.com/valeoai/WoodScape", | 98 | "landing_page": "https://github.com/valeoai/WoodScape", | ||
99 | "license_title": null, | 99 | "license_title": null, | ||
100 | "link_orkg": "", | 100 | "link_orkg": "", | ||
101 | "metadata_created": "2024-12-02T22:05:51.154509", | 101 | "metadata_created": "2024-12-02T22:05:51.154509", | ||
n | 102 | "metadata_modified": "2024-12-03T07:49:49.691868", | n | 102 | "metadata_modified": "2024-12-03T07:49:50.810111", |
103 | "name": "woodscape", | 103 | "name": "woodscape", | ||
104 | "notes": "The WoodScape dataset consists of 10,000 annotated images | 104 | "notes": "The WoodScape dataset consists of 10,000 annotated images | ||
105 | captured from four different view angles: Front View (FV), Mirror-View | 105 | captured from four different view angles: Front View (FV), Mirror-View | ||
106 | Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. | 106 | Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. | ||
107 | The dataset provides the semantic annotations for ten classes, | 107 | The dataset provides the semantic annotations for ten classes, | ||
108 | including road, lane markings, curb, person, rider, car, bicycle, | 108 | including road, lane markings, curb, person, rider, car, bicycle, | ||
109 | motorcycle, traffic sign, and background.", | 109 | motorcycle, traffic sign, and background.", | ||
n | 110 | "num_resources": 0, | n | 110 | "num_resources": 1, |
111 | "num_tags": 10, | 111 | "num_tags": 10, | ||
112 | "organization": { | 112 | "organization": { | ||
113 | "approval_status": "approved", | 113 | "approval_status": "approved", | ||
114 | "created": "2024-11-25T12:11:38.292601", | 114 | "created": "2024-11-25T12:11:38.292601", | ||
115 | "description": "", | 115 | "description": "", | ||
116 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 116 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
117 | "image_url": "", | 117 | "image_url": "", | ||
118 | "is_organization": true, | 118 | "is_organization": true, | ||
119 | "name": "no-organization", | 119 | "name": "no-organization", | ||
120 | "state": "active", | 120 | "state": "active", | ||
121 | "title": "No Organization", | 121 | "title": "No Organization", | ||
122 | "type": "organization" | 122 | "type": "organization" | ||
123 | }, | 123 | }, | ||
124 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 124 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
125 | "private": false, | 125 | "private": false, | ||
126 | "relationships_as_object": [], | 126 | "relationships_as_object": [], | ||
127 | "relationships_as_subject": [], | 127 | "relationships_as_subject": [], | ||
t | 128 | "resources": [], | t | 128 | "resources": [ |
129 | { | ||||
130 | "cache_last_updated": null, | ||||
131 | "cache_url": null, | ||||
132 | "created": "2024-12-03T08:34:31", | ||||
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": "c013d913-bea4-4083-9a2a-003929554c24", | ||||
155 | "last_modified": "2024-12-03T07:49:50.801585", | ||||
156 | "metadata_modified": "2024-12-03T07:49:50.812875", | ||||
157 | "mimetype": "application/json", | ||||
158 | "mimetype_inner": null, | ||||
159 | "name": "Original Metadata", | ||||
160 | "package_id": "fe62b2d1-d402-4373-9226-b8a94404388e", | ||||
161 | "position": 0, | ||||
162 | "resource_type": null, | ||||
163 | "size": 1602, | ||||
164 | "state": "active", | ||||
165 | "url": | ||||
166 | resource/c013d913-bea4-4083-9a2a-003929554c24/download/metadata.json", | ||||
167 | "url_type": "upload" | ||||
168 | } | ||||
169 | ], | ||||
129 | "services_used_list": "", | 170 | "services_used_list": "", | ||
130 | "state": "active", | 171 | "state": "active", | ||
131 | "tags": [ | 172 | "tags": [ | ||
132 | { | 173 | { | ||
133 | "display_name": "WoodScape dataset", | 174 | "display_name": "WoodScape dataset", | ||
134 | "id": "f4e0f83e-fb5b-433a-a40a-0dd3d98ad7a1", | 175 | "id": "f4e0f83e-fb5b-433a-a40a-0dd3d98ad7a1", | ||
135 | "name": "WoodScape dataset", | 176 | "name": "WoodScape dataset", | ||
136 | "state": "active", | 177 | "state": "active", | ||
137 | "vocabulary_id": null | 178 | "vocabulary_id": null | ||
138 | }, | 179 | }, | ||
139 | { | 180 | { | ||
140 | "display_name": "autonomous driving", | 181 | "display_name": "autonomous driving", | ||
141 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | 182 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | ||
142 | "name": "autonomous driving", | 183 | "name": "autonomous driving", | ||
143 | "state": "active", | 184 | "state": "active", | ||
144 | "vocabulary_id": null | 185 | "vocabulary_id": null | ||
145 | }, | 186 | }, | ||
146 | { | 187 | { | ||
147 | "display_name": "autonomous vehicles", | 188 | "display_name": "autonomous vehicles", | ||
148 | "id": "5c3880aa-4e1f-4335-88c2-d3b5ede8a99a", | 189 | "id": "5c3880aa-4e1f-4335-88c2-d3b5ede8a99a", | ||
149 | "name": "autonomous vehicles", | 190 | "name": "autonomous vehicles", | ||
150 | "state": "active", | 191 | "state": "active", | ||
151 | "vocabulary_id": null | 192 | "vocabulary_id": null | ||
152 | }, | 193 | }, | ||
153 | { | 194 | { | ||
154 | "display_name": "fish-eye camera", | 195 | "display_name": "fish-eye camera", | ||
155 | "id": "f858e805-6a98-4bcc-820b-2671419ac98d", | 196 | "id": "f858e805-6a98-4bcc-820b-2671419ac98d", | ||
156 | "name": "fish-eye camera", | 197 | "name": "fish-eye camera", | ||
157 | "state": "active", | 198 | "state": "active", | ||
158 | "vocabulary_id": null | 199 | "vocabulary_id": null | ||
159 | }, | 200 | }, | ||
160 | { | 201 | { | ||
161 | "display_name": "fisheye", | 202 | "display_name": "fisheye", | ||
162 | "id": "8782bb7c-99db-4ae7-b57e-93245811d2ed", | 203 | "id": "8782bb7c-99db-4ae7-b57e-93245811d2ed", | ||
163 | "name": "fisheye", | 204 | "name": "fisheye", | ||
164 | "state": "active", | 205 | "state": "active", | ||
165 | "vocabulary_id": null | 206 | "vocabulary_id": null | ||
166 | }, | 207 | }, | ||
167 | { | 208 | { | ||
168 | "display_name": "fisheye cameras", | 209 | "display_name": "fisheye cameras", | ||
169 | "id": "a9cd5e25-c487-448e-afb5-a9596715a506", | 210 | "id": "a9cd5e25-c487-448e-afb5-a9596715a506", | ||
170 | "name": "fisheye cameras", | 211 | "name": "fisheye cameras", | ||
171 | "state": "active", | 212 | "state": "active", | ||
172 | "vocabulary_id": null | 213 | "vocabulary_id": null | ||
173 | }, | 214 | }, | ||
174 | { | 215 | { | ||
175 | "display_name": "fisheye images", | 216 | "display_name": "fisheye images", | ||
176 | "id": "4e5a9f5f-2bfc-49c7-9160-ec16a98f59ca", | 217 | "id": "4e5a9f5f-2bfc-49c7-9160-ec16a98f59ca", | ||
177 | "name": "fisheye images", | 218 | "name": "fisheye images", | ||
178 | "state": "active", | 219 | "state": "active", | ||
179 | "vocabulary_id": null | 220 | "vocabulary_id": null | ||
180 | }, | 221 | }, | ||
181 | { | 222 | { | ||
182 | "display_name": "multi-task learning", | 223 | "display_name": "multi-task learning", | ||
183 | "id": "bcad4df5-310a-41e2-b58a-634318066212", | 224 | "id": "bcad4df5-310a-41e2-b58a-634318066212", | ||
184 | "name": "multi-task learning", | 225 | "name": "multi-task learning", | ||
185 | "state": "active", | 226 | "state": "active", | ||
186 | "vocabulary_id": null | 227 | "vocabulary_id": null | ||
187 | }, | 228 | }, | ||
188 | { | 229 | { | ||
189 | "display_name": "object detection", | 230 | "display_name": "object detection", | ||
190 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 231 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||
191 | "name": "object detection", | 232 | "name": "object detection", | ||
192 | "state": "active", | 233 | "state": "active", | ||
193 | "vocabulary_id": null | 234 | "vocabulary_id": null | ||
194 | }, | 235 | }, | ||
195 | { | 236 | { | ||
196 | "display_name": "semantic segmentation", | 237 | "display_name": "semantic segmentation", | ||
197 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 238 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
198 | "name": "semantic segmentation", | 239 | "name": "semantic segmentation", | ||
199 | "state": "active", | 240 | "state": "active", | ||
200 | "vocabulary_id": null | 241 | "vocabulary_id": null | ||
201 | } | 242 | } | ||
202 | ], | 243 | ], | ||
203 | "title": "WoodScape", | 244 | "title": "WoodScape", | ||
204 | "type": "dataset", | 245 | "type": "dataset", | ||
205 | "version": "" | 246 | "version": "" | ||
206 | } | 247 | } |