Changes
On December 2, 2024 at 6:25:28 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Dota: A large-scale dataset for object detection in aerial images -
Changed value of field
doi_date_published
to2024-12-02
in Dota: A large-scale dataset for object detection in aerial images -
Added resource Original Metadata to Dota: A large-scale dataset for object detection in aerial images
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Sergey Nesteruk", | 3 | "author": "Sergey Nesteruk", | ||
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", | ||
7 | "defined_in": "", | 7 | "defined_in": "", | ||
8 | "doi": "10.57702/5equ46z1", | 8 | "doi": "10.57702/5equ46z1", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 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 | { | ||
15 | "extra_author": "Dmitrii Shadrin", | 15 | "extra_author": "Dmitrii Shadrin", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Mariia Pukalchik", | 19 | "extra_author": "Mariia Pukalchik", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "groups": [ | 23 | "groups": [ | ||
24 | { | 24 | { | ||
25 | "description": "", | 25 | "description": "", | ||
26 | "display_name": "Aerial Images", | 26 | "display_name": "Aerial Images", | ||
27 | "id": "b4628da4-1da6-46e4-8759-6323c56beec9", | 27 | "id": "b4628da4-1da6-46e4-8759-6323c56beec9", | ||
28 | "image_display_url": "", | 28 | "image_display_url": "", | ||
29 | "name": "aerial-images", | 29 | "name": "aerial-images", | ||
30 | "title": "Aerial Images" | 30 | "title": "Aerial Images" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Object Detection", | 34 | "display_name": "Object Detection", | ||
35 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 35 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "object-detection", | 37 | "name": "object-detection", | ||
38 | "title": "Object Detection" | 38 | "title": "Object Detection" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "id": "0f745a92-cbb6-4698-80e6-84b7796d4407", | 41 | "id": "0f745a92-cbb6-4698-80e6-84b7796d4407", | ||
42 | "isopen": false, | 42 | "isopen": false, | ||
43 | "landing_page": | 43 | "landing_page": | ||
44 | "https://www.sciencedirect.com/science/article/pii/S0168169917305689", | 44 | "https://www.sciencedirect.com/science/article/pii/S0168169917305689", | ||
45 | "license_title": null, | 45 | "license_title": null, | ||
46 | "link_orkg": "", | 46 | "link_orkg": "", | ||
47 | "metadata_created": "2024-12-02T18:25:26.474726", | 47 | "metadata_created": "2024-12-02T18:25:26.474726", | ||
n | 48 | "metadata_modified": "2024-12-02T18:25:26.474731", | n | 48 | "metadata_modified": "2024-12-02T18:25:26.908378", |
49 | "name": | 49 | "name": | ||
50 | "dota--a-large-scale-dataset-for-object-detection-in-aerial-images", | 50 | "dota--a-large-scale-dataset-for-object-detection-in-aerial-images", | ||
51 | "notes": "Publicly available plant image datasets are crucial in | 51 | "notes": "Publicly available plant image datasets are crucial in | ||
52 | precision agriculture as they reduce the time and e\ufb00ort spent on | 52 | precision agriculture as they reduce the time and e\ufb00ort spent on | ||
53 | data collection and preparation. Also, more data enable more | 53 | data collection and preparation. Also, more data enable more | ||
54 | e\ufb03cient algorithms to be developed and evaluated to address | 54 | e\ufb03cient algorithms to be developed and evaluated to address | ||
55 | various computer vision problems.", | 55 | various computer vision problems.", | ||
n | 56 | "num_resources": 0, | n | 56 | "num_resources": 1, |
57 | "num_tags": 2, | 57 | "num_tags": 2, | ||
58 | "organization": { | 58 | "organization": { | ||
59 | "approval_status": "approved", | 59 | "approval_status": "approved", | ||
60 | "created": "2024-11-25T12:11:38.292601", | 60 | "created": "2024-11-25T12:11:38.292601", | ||
61 | "description": "", | 61 | "description": "", | ||
62 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 62 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
63 | "image_url": "", | 63 | "image_url": "", | ||
64 | "is_organization": true, | 64 | "is_organization": true, | ||
65 | "name": "no-organization", | 65 | "name": "no-organization", | ||
66 | "state": "active", | 66 | "state": "active", | ||
67 | "title": "No Organization", | 67 | "title": "No Organization", | ||
68 | "type": "organization" | 68 | "type": "organization" | ||
69 | }, | 69 | }, | ||
70 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 70 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
71 | "private": false, | 71 | "private": false, | ||
72 | "relationships_as_object": [], | 72 | "relationships_as_object": [], | ||
73 | "relationships_as_subject": [], | 73 | "relationships_as_subject": [], | ||
t | 74 | "resources": [], | t | 74 | "resources": [ |
75 | { | ||||
76 | "cache_last_updated": null, | ||||
77 | "cache_url": null, | ||||
78 | "created": "2024-12-02T18:38:42", | ||||
79 | "data": [ | ||||
80 | "dcterms:title", | ||||
81 | "dcterms:accessRights", | ||||
82 | "dcterms:creator", | ||||
83 | "dcterms:description", | ||||
84 | "dcterms:issued", | ||||
85 | "dcterms:language", | ||||
86 | "dcterms:identifier", | ||||
87 | "dcat:theme", | ||||
88 | "dcterms:type", | ||||
89 | "dcat:keyword", | ||||
90 | "dcat:landingPage", | ||||
91 | "dcterms:hasVersion", | ||||
92 | "dcterms:format", | ||||
93 | "mls:task" | ||||
94 | ], | ||||
95 | "description": "The json representation of the dataset with its | ||||
96 | distributions based on DCAT.", | ||||
97 | "format": "JSON", | ||||
98 | "hash": "", | ||||
99 | "id": "ab3ab770-d0f8-4e30-a90a-e119555f812a", | ||||
100 | "last_modified": "2024-12-02T18:25:26.901722", | ||||
101 | "metadata_modified": "2024-12-02T18:25:26.911141", | ||||
102 | "mimetype": "application/json", | ||||
103 | "mimetype_inner": null, | ||||
104 | "name": "Original Metadata", | ||||
105 | "package_id": "0f745a92-cbb6-4698-80e6-84b7796d4407", | ||||
106 | "position": 0, | ||||
107 | "resource_type": null, | ||||
108 | "size": 902, | ||||
109 | "state": "active", | ||||
110 | "url": | ||||
111 | resource/ab3ab770-d0f8-4e30-a90a-e119555f812a/download/metadata.json", | ||||
112 | "url_type": "upload" | ||||
113 | } | ||||
114 | ], | ||||
75 | "services_used_list": "", | 115 | "services_used_list": "", | ||
76 | "state": "active", | 116 | "state": "active", | ||
77 | "tags": [ | 117 | "tags": [ | ||
78 | { | 118 | { | ||
79 | "display_name": "aerial images", | 119 | "display_name": "aerial images", | ||
80 | "id": "2751e287-ee72-4f90-82cb-660d3327d2e0", | 120 | "id": "2751e287-ee72-4f90-82cb-660d3327d2e0", | ||
81 | "name": "aerial images", | 121 | "name": "aerial images", | ||
82 | "state": "active", | 122 | "state": "active", | ||
83 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
84 | }, | 124 | }, | ||
85 | { | 125 | { | ||
86 | "display_name": "object detection", | 126 | "display_name": "object detection", | ||
87 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 127 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||
88 | "name": "object detection", | 128 | "name": "object detection", | ||
89 | "state": "active", | 129 | "state": "active", | ||
90 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
91 | } | 131 | } | ||
92 | ], | 132 | ], | ||
93 | "title": "Dota: A large-scale dataset for object detection in aerial | 133 | "title": "Dota: A large-scale dataset for object detection in aerial | ||
94 | images", | 134 | images", | ||
95 | "type": "dataset", | 135 | "type": "dataset", | ||
96 | "version": "" | 136 | "version": "" | ||
97 | } | 137 | } |