Changes
On December 2, 2024 at 10:05:52 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Woodscape -
Changed value of field
doi_date_published
to2024-12-02
in Woodscape -
Added resource Original Metadata to Woodscape
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Akshaya Athwale", | 3 | "author": "Akshaya Athwale", | ||
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 | ], | 7 | ], | ||
8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
9 | "defined_in": "https://doi.org/10.48550/arXiv.2407.17328", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2407.17328", | ||
10 | "doi": "10.57702/csum2b61", | 10 | "doi": "10.57702/csum2b61", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
n | 13 | "doi_status": false, | n | 13 | "doi_status": true, |
14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Ichrak Shili", | 17 | "extra_author": "Ichrak Shili", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "\u00b4Emile Bergeron", | 21 | "extra_author": "\u00b4Emile Bergeron", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Ola Ahmad", | 25 | "extra_author": "Ola Ahmad", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Jean-Franc\u00b8ois Lalonde", | 29 | "extra_author": "Jean-Franc\u00b8ois Lalonde", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | } | 31 | } | ||
32 | ], | 32 | ], | ||
33 | "groups": [ | 33 | "groups": [ | ||
34 | { | 34 | { | ||
35 | "description": "", | 35 | "description": "", | ||
36 | "display_name": "Autonomous driving", | 36 | "display_name": "Autonomous driving", | ||
37 | "id": "db6a68ea-b1a7-4925-ac55-1d0495c226d8", | 37 | "id": "db6a68ea-b1a7-4925-ac55-1d0495c226d8", | ||
38 | "image_display_url": "", | 38 | "image_display_url": "", | ||
39 | "name": "autonomous-driving", | 39 | "name": "autonomous-driving", | ||
40 | "title": "Autonomous driving" | 40 | "title": "Autonomous driving" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Fisheye Images", | 44 | "display_name": "Fisheye Images", | ||
45 | "id": "f82ae0f8-7fa4-45d3-ab4d-8bc42b52f0f0", | 45 | "id": "f82ae0f8-7fa4-45d3-ab4d-8bc42b52f0f0", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "fisheye-images", | 47 | "name": "fisheye-images", | ||
48 | "title": "Fisheye Images" | 48 | "title": "Fisheye Images" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "Image Processing", | 52 | "display_name": "Image Processing", | ||
53 | "id": "31f537e7-23f2-4663-9ae4-f2147dfbce50", | 53 | "id": "31f537e7-23f2-4663-9ae4-f2147dfbce50", | ||
54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "image-processing", | 55 | "name": "image-processing", | ||
56 | "title": "Image Processing" | 56 | "title": "Image Processing" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "description": "", | 59 | "description": "", | ||
60 | "display_name": "Semantic Segmentation", | 60 | "display_name": "Semantic Segmentation", | ||
61 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 61 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
63 | "name": "semantic-segmentation", | 63 | "name": "semantic-segmentation", | ||
64 | "title": "Semantic Segmentation" | 64 | "title": "Semantic Segmentation" | ||
65 | } | 65 | } | ||
66 | ], | 66 | ], | ||
67 | "id": "fe62b2d1-d402-4373-9226-b8a94404388e", | 67 | "id": "fe62b2d1-d402-4373-9226-b8a94404388e", | ||
68 | "isopen": false, | 68 | "isopen": false, | ||
69 | "landing_page": "https://www.woodscapes.org/", | 69 | "landing_page": "https://www.woodscapes.org/", | ||
70 | "license_title": null, | 70 | "license_title": null, | ||
71 | "link_orkg": "", | 71 | "link_orkg": "", | ||
72 | "metadata_created": "2024-12-02T22:05:51.154509", | 72 | "metadata_created": "2024-12-02T22:05:51.154509", | ||
n | 73 | "metadata_modified": "2024-12-02T22:05:51.154515", | n | 73 | "metadata_modified": "2024-12-02T22:05:51.769220", |
74 | "name": "woodscape", | 74 | "name": "woodscape", | ||
75 | "notes": "The Woodscape dataset consists of 10,000 annotated images | 75 | "notes": "The Woodscape dataset consists of 10,000 annotated images | ||
76 | captured from four different view angles: Front View (FV), Mirror-View | 76 | captured from four different view angles: Front View (FV), Mirror-View | ||
77 | Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. | 77 | Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. | ||
78 | The dataset provides the semantic annotations for ten classes, | 78 | The dataset provides the semantic annotations for ten classes, | ||
79 | including road, lane markings, curb, person, rider, car, bicycle, | 79 | including road, lane markings, curb, person, rider, car, bicycle, | ||
80 | motorcycle, traffic sign, and background.", | 80 | motorcycle, traffic sign, and background.", | ||
n | 81 | "num_resources": 0, | n | 81 | "num_resources": 1, |
82 | "num_tags": 6, | 82 | "num_tags": 6, | ||
83 | "organization": { | 83 | "organization": { | ||
84 | "approval_status": "approved", | 84 | "approval_status": "approved", | ||
85 | "created": "2024-11-25T12:11:38.292601", | 85 | "created": "2024-11-25T12:11:38.292601", | ||
86 | "description": "", | 86 | "description": "", | ||
87 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 87 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
88 | "image_url": "", | 88 | "image_url": "", | ||
89 | "is_organization": true, | 89 | "is_organization": true, | ||
90 | "name": "no-organization", | 90 | "name": "no-organization", | ||
91 | "state": "active", | 91 | "state": "active", | ||
92 | "title": "No Organization", | 92 | "title": "No Organization", | ||
93 | "type": "organization" | 93 | "type": "organization" | ||
94 | }, | 94 | }, | ||
95 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 95 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
96 | "private": false, | 96 | "private": false, | ||
97 | "relationships_as_object": [], | 97 | "relationships_as_object": [], | ||
98 | "relationships_as_subject": [], | 98 | "relationships_as_subject": [], | ||
t | 99 | "resources": [], | t | 99 | "resources": [ |
100 | { | ||||
101 | "cache_last_updated": null, | ||||
102 | "cache_url": null, | ||||
103 | "created": "2024-12-02T22:29:38", | ||||
104 | "data": [ | ||||
105 | "dcterms:title", | ||||
106 | "dcterms:accessRights", | ||||
107 | "dcterms:creator", | ||||
108 | "dcterms:description", | ||||
109 | "dcterms:issued", | ||||
110 | "dcterms:language", | ||||
111 | "dcterms:identifier", | ||||
112 | "dcat:theme", | ||||
113 | "dcterms:type", | ||||
114 | "dcat:keyword", | ||||
115 | "dcat:landingPage", | ||||
116 | "dcterms:hasVersion", | ||||
117 | "dcterms:format", | ||||
118 | "mls:task", | ||||
119 | "datacite:isDescribedBy" | ||||
120 | ], | ||||
121 | "description": "The json representation of the dataset with its | ||||
122 | distributions based on DCAT.", | ||||
123 | "format": "JSON", | ||||
124 | "hash": "", | ||||
125 | "id": "530b35cf-f6b1-44fb-b9ba-944a43a25dcc", | ||||
126 | "last_modified": "2024-12-02T22:05:51.761451", | ||||
127 | "metadata_modified": "2024-12-02T22:05:51.772170", | ||||
128 | "mimetype": "application/json", | ||||
129 | "mimetype_inner": null, | ||||
130 | "name": "Original Metadata", | ||||
131 | "package_id": "fe62b2d1-d402-4373-9226-b8a94404388e", | ||||
132 | "position": 0, | ||||
133 | "resource_type": null, | ||||
134 | "size": 1232, | ||||
135 | "state": "active", | ||||
136 | "url": | ||||
137 | resource/530b35cf-f6b1-44fb-b9ba-944a43a25dcc/download/metadata.json", | ||||
138 | "url_type": "upload" | ||||
139 | } | ||||
140 | ], | ||||
100 | "services_used_list": "", | 141 | "services_used_list": "", | ||
101 | "state": "active", | 142 | "state": "active", | ||
102 | "tags": [ | 143 | "tags": [ | ||
103 | { | 144 | { | ||
104 | "display_name": "Autonomous Driving", | 145 | "display_name": "Autonomous Driving", | ||
105 | "id": "53b128b7-eb10-42a0-92e8-4b087d983174", | 146 | "id": "53b128b7-eb10-42a0-92e8-4b087d983174", | ||
106 | "name": "Autonomous Driving", | 147 | "name": "Autonomous Driving", | ||
107 | "state": "active", | 148 | "state": "active", | ||
108 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
109 | }, | 150 | }, | ||
110 | { | 151 | { | ||
111 | "display_name": "Image Processing", | 152 | "display_name": "Image Processing", | ||
112 | "id": "38ebd60e-fd40-4275-a9d3-490f287011d6", | 153 | "id": "38ebd60e-fd40-4275-a9d3-490f287011d6", | ||
113 | "name": "Image Processing", | 154 | "name": "Image Processing", | ||
114 | "state": "active", | 155 | "state": "active", | ||
115 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
116 | }, | 157 | }, | ||
117 | { | 158 | { | ||
118 | "display_name": "Object Detection", | 159 | "display_name": "Object Detection", | ||
119 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 160 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
120 | "name": "Object Detection", | 161 | "name": "Object Detection", | ||
121 | "state": "active", | 162 | "state": "active", | ||
122 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
123 | }, | 164 | }, | ||
124 | { | 165 | { | ||
125 | "display_name": "Woodscape dataset", | 166 | "display_name": "Woodscape dataset", | ||
126 | "id": "cf8954aa-a68c-4e98-9b74-66666e365a03", | 167 | "id": "cf8954aa-a68c-4e98-9b74-66666e365a03", | ||
127 | "name": "Woodscape dataset", | 168 | "name": "Woodscape dataset", | ||
128 | "state": "active", | 169 | "state": "active", | ||
129 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
130 | }, | 171 | }, | ||
131 | { | 172 | { | ||
132 | "display_name": "fisheye images", | 173 | "display_name": "fisheye images", | ||
133 | "id": "4e5a9f5f-2bfc-49c7-9160-ec16a98f59ca", | 174 | "id": "4e5a9f5f-2bfc-49c7-9160-ec16a98f59ca", | ||
134 | "name": "fisheye images", | 175 | "name": "fisheye images", | ||
135 | "state": "active", | 176 | "state": "active", | ||
136 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
137 | }, | 178 | }, | ||
138 | { | 179 | { | ||
139 | "display_name": "semantic segmentation", | 180 | "display_name": "semantic segmentation", | ||
140 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 181 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
141 | "name": "semantic segmentation", | 182 | "name": "semantic segmentation", | ||
142 | "state": "active", | 183 | "state": "active", | ||
143 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
144 | } | 185 | } | ||
145 | ], | 186 | ], | ||
146 | "title": "Woodscape", | 187 | "title": "Woodscape", | ||
147 | "type": "dataset", | 188 | "type": "dataset", | ||
148 | "version": "" | 189 | "version": "" | ||
149 | } | 190 | } |