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f | 1 | { | f | 1 | { |
2 | "author": "Landgraf, Steven", | 2 | "author": "Landgraf, Steven", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1452", | 5 | "doi": "10.35097/1452", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Hillemann, Markus", | 11 | "extra_author": "Hillemann, Markus", | ||
12 | "orcid": "0000-0002-8906-0450" | 12 | "orcid": "0000-0002-8906-0450" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "extra_author": "Ulrich, Markus", | 15 | "extra_author": "Ulrich, Markus", | ||
16 | "orcid": "0000-0001-8457-5554" | 16 | "orcid": "0000-0001-8457-5554" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Aberle, Moritz", | 19 | "extra_author": "Aberle, Moritz", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Jung, Valentin", | 23 | "extra_author": "Jung, Valentin", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [], | 27 | "groups": [], | ||
28 | "id": "029c43d3-306c-4a83-89c1-af7a68c6cf42", | 28 | "id": "029c43d3-306c-4a83-89c1-af7a68c6cf42", | ||
29 | "isopen": false, | 29 | "isopen": false, | ||
30 | "license_id": "CC BY 4.0 Attribution", | 30 | "license_id": "CC BY 4.0 Attribution", | ||
31 | "license_title": "CC BY 4.0 Attribution", | 31 | "license_title": "CC BY 4.0 Attribution", | ||
32 | "metadata_created": "2023-08-04T08:50:49.349458", | 32 | "metadata_created": "2023-08-04T08:50:49.349458", | ||
t | 33 | "metadata_modified": "2023-08-04T09:04:19.359568", | t | 33 | "metadata_modified": "2023-08-04T09:31:24.145051", |
34 | "name": "rdr-doi-10-35097-1452", | 34 | "name": "rdr-doi-10-35097-1452", | ||
35 | "notes": "Abstract: The published dataset contains images and masks | 35 | "notes": "Abstract: The published dataset contains images and masks | ||
36 | related to the research article with the title \"Segmentation of | 36 | related to the research article with the title \"Segmentation of | ||
37 | Industrial Burner Flames: A Comparative Study from Traditional Image | 37 | Industrial Burner Flames: A Comparative Study from Traditional Image | ||
38 | Processing to Machine and Machine and Deep Learning\".\r\n\r\nThe | 38 | Processing to Machine and Machine and Deep Learning\".\r\n\r\nThe | ||
39 | original dataset, which our version of the dataset is based on, can be | 39 | original dataset, which our version of the dataset is based on, can be | ||
40 | found here: https://zenodo.org/record/4453599\r\nTechnicalRemarks: The | 40 | found here: https://zenodo.org/record/4453599\r\nTechnicalRemarks: The | ||
41 | published dataset contains images and masks related to the research | 41 | published dataset contains images and masks related to the research | ||
42 | article with the title \"Segmentation of Industrial Burner Flames: A | 42 | article with the title \"Segmentation of Industrial Burner Flames: A | ||
43 | Comparative Study from Traditional Image Processing to Machine and | 43 | Comparative Study from Traditional Image Processing to Machine and | ||
44 | Machine and Deep Learning\".\r\n\r\nThe original dataset, which our | 44 | Machine and Deep Learning\".\r\n\r\nThe original dataset, which our | ||
45 | version of the dataset is based on, can be found here: | 45 | version of the dataset is based on, can be found here: | ||
46 | https://zenodo.org/record/4453599", | 46 | https://zenodo.org/record/4453599", | ||
47 | "num_resources": 0, | 47 | "num_resources": 0, | ||
48 | "num_tags": 5, | 48 | "num_tags": 5, | ||
49 | "orcid": "", | 49 | "orcid": "", | ||
50 | "organization": { | 50 | "organization": { | ||
51 | "approval_status": "approved", | 51 | "approval_status": "approved", | ||
52 | "created": "2023-01-12T13:30:23.238233", | 52 | "created": "2023-01-12T13:30:23.238233", | ||
53 | "description": "RADAR (Research Data Repository) is a | 53 | "description": "RADAR (Research Data Repository) is a | ||
54 | cross-disciplinary repository for archiving and publishing research | 54 | cross-disciplinary repository for archiving and publishing research | ||
55 | data from completed scientific studies and projects. The focus is on | 55 | data from completed scientific studies and projects. The focus is on | ||
56 | research data from subjects that do not yet have their own | 56 | research data from subjects that do not yet have their own | ||
57 | discipline-specific infrastructures for research data management. ", | 57 | discipline-specific infrastructures for research data management. ", | ||
58 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 58 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
59 | "image_url": "radar-logo.svg", | 59 | "image_url": "radar-logo.svg", | ||
60 | "is_organization": true, | 60 | "is_organization": true, | ||
61 | "name": "radar", | 61 | "name": "radar", | ||
62 | "state": "active", | 62 | "state": "active", | ||
63 | "title": "RADAR", | 63 | "title": "RADAR", | ||
64 | "type": "organization" | 64 | "type": "organization" | ||
65 | }, | 65 | }, | ||
66 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 66 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
67 | "private": false, | 67 | "private": false, | ||
68 | "production_year": "2023", | 68 | "production_year": "2023", | ||
69 | "publication_year": "2023", | 69 | "publication_year": "2023", | ||
70 | "publishers": [ | 70 | "publishers": [ | ||
71 | { | 71 | { | ||
72 | "publisher": "Karlsruhe Institute of Technology" | 72 | "publisher": "Karlsruhe Institute of Technology" | ||
73 | } | 73 | } | ||
74 | ], | 74 | ], | ||
75 | "relationships_as_object": [], | 75 | "relationships_as_object": [], | ||
76 | "relationships_as_subject": [], | 76 | "relationships_as_subject": [], | ||
77 | "repository_name": "RADAR (Research Data Repository)", | 77 | "repository_name": "RADAR (Research Data Repository)", | ||
78 | "resources": [], | 78 | "resources": [], | ||
79 | "services_used_list": "", | 79 | "services_used_list": "", | ||
80 | "source_metadata_created": "2023", | 80 | "source_metadata_created": "2023", | ||
81 | "source_metadata_modified": "", | 81 | "source_metadata_modified": "", | ||
82 | "state": "active", | 82 | "state": "active", | ||
83 | "subject_areas": [ | 83 | "subject_areas": [ | ||
84 | { | 84 | { | ||
85 | "subject_area_additional": "", | 85 | "subject_area_additional": "", | ||
86 | "subject_area_name": "Geological Science" | 86 | "subject_area_name": "Geological Science" | ||
87 | } | 87 | } | ||
88 | ], | 88 | ], | ||
89 | "tags": [ | 89 | "tags": [ | ||
90 | { | 90 | { | ||
91 | "display_name": "Deep Learning", | 91 | "display_name": "Deep Learning", | ||
92 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | 92 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | ||
93 | "name": "Deep Learning", | 93 | "name": "Deep Learning", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "vocabulary_id": null | 95 | "vocabulary_id": null | ||
96 | }, | 96 | }, | ||
97 | { | 97 | { | ||
98 | "display_name": "Image Processing", | 98 | "display_name": "Image Processing", | ||
99 | "id": "38ebd60e-fd40-4275-a9d3-490f287011d6", | 99 | "id": "38ebd60e-fd40-4275-a9d3-490f287011d6", | ||
100 | "name": "Image Processing", | 100 | "name": "Image Processing", | ||
101 | "state": "active", | 101 | "state": "active", | ||
102 | "vocabulary_id": null | 102 | "vocabulary_id": null | ||
103 | }, | 103 | }, | ||
104 | { | 104 | { | ||
105 | "display_name": "Industrial Burner Flames", | 105 | "display_name": "Industrial Burner Flames", | ||
106 | "id": "ffbb2c29-20a6-42b5-ad96-906cf42ed328", | 106 | "id": "ffbb2c29-20a6-42b5-ad96-906cf42ed328", | ||
107 | "name": "Industrial Burner Flames", | 107 | "name": "Industrial Burner Flames", | ||
108 | "state": "active", | 108 | "state": "active", | ||
109 | "vocabulary_id": null | 109 | "vocabulary_id": null | ||
110 | }, | 110 | }, | ||
111 | { | 111 | { | ||
112 | "display_name": "Machine Learning", | 112 | "display_name": "Machine Learning", | ||
113 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | 113 | "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c", | ||
114 | "name": "Machine Learning", | 114 | "name": "Machine Learning", | ||
115 | "state": "active", | 115 | "state": "active", | ||
116 | "vocabulary_id": null | 116 | "vocabulary_id": null | ||
117 | }, | 117 | }, | ||
118 | { | 118 | { | ||
119 | "display_name": "Segmentation", | 119 | "display_name": "Segmentation", | ||
120 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | 120 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | ||
121 | "name": "Segmentation", | 121 | "name": "Segmentation", | ||
122 | "state": "active", | 122 | "state": "active", | ||
123 | "vocabulary_id": null | 123 | "vocabulary_id": null | ||
124 | } | 124 | } | ||
125 | ], | 125 | ], | ||
126 | "title": "Dataset for the segmentation of industrial burner flames", | 126 | "title": "Dataset for the segmentation of industrial burner flames", | ||
127 | "type": "vdataset", | 127 | "type": "vdataset", | ||
128 | "url": "https://doi.org/10.35097/1452" | 128 | "url": "https://doi.org/10.35097/1452" | ||
129 | } | 129 | } |