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On December 3, 2024 at 12:04:20 AM UTC,
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| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "M. Cordts", | 3 | "author": "M. Cordts", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2211.02048" | 6 | "https://doi.org/10.48550/arXiv.2211.02048" | ||
| 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.2301.08898", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2301.08898", | ||
| 10 | "doi": "10.57702/tuq85ufq", | 10 | "doi": "10.57702/tuq85ufq", | ||
| 11 | "doi_date_published": "2024-12-02", | 11 | "doi_date_published": "2024-12-02", | ||
| 12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
| 13 | "doi_status": true, | 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": "M. Omran", | 17 | "extra_author": "M. Omran", | ||
| 18 | "orcid": "" | 18 | "orcid": "" | ||
| 19 | }, | 19 | }, | ||
| 20 | { | 20 | { | ||
| 21 | "extra_author": "S. Ramos", | 21 | "extra_author": "S. Ramos", | ||
| 22 | "orcid": "" | 22 | "orcid": "" | ||
| 23 | }, | 23 | }, | ||
| 24 | { | 24 | { | ||
| 25 | "extra_author": "T. Rehfeld", | 25 | "extra_author": "T. Rehfeld", | ||
| 26 | "orcid": "" | 26 | "orcid": "" | ||
| 27 | }, | 27 | }, | ||
| 28 | { | 28 | { | ||
| 29 | "extra_author": "M. Enzweiler", | 29 | "extra_author": "M. Enzweiler", | ||
| 30 | "orcid": "" | 30 | "orcid": "" | ||
| 31 | }, | 31 | }, | ||
| 32 | { | 32 | { | ||
| 33 | "extra_author": "R. Benenson", | 33 | "extra_author": "R. Benenson", | ||
| 34 | "orcid": "" | 34 | "orcid": "" | ||
| 35 | }, | 35 | }, | ||
| 36 | { | 36 | { | ||
| 37 | "extra_author": "U. Franke", | 37 | "extra_author": "U. Franke", | ||
| 38 | "orcid": "" | 38 | "orcid": "" | ||
| 39 | }, | 39 | }, | ||
| 40 | { | 40 | { | ||
| 41 | "extra_author": "S. Roth", | 41 | "extra_author": "S. Roth", | ||
| 42 | "orcid": "" | 42 | "orcid": "" | ||
| 43 | }, | 43 | }, | ||
| 44 | { | 44 | { | ||
| 45 | "extra_author": "B. Schiele", | 45 | "extra_author": "B. Schiele", | ||
| 46 | "orcid": "" | 46 | "orcid": "" | ||
| 47 | } | 47 | } | ||
| 48 | ], | 48 | ], | ||
| 49 | "groups": [ | 49 | "groups": [ | ||
| 50 | { | 50 | { | ||
| 51 | "description": "", | 51 | "description": "", | ||
| 52 | "display_name": "Image Dataset", | 52 | "display_name": "Image Dataset", | ||
| 53 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | 53 | "id": "fc745cca-b21e-4ced-ba81-06a456938edf", | ||
| 54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
| 55 | "name": "image-dataset", | 55 | "name": "image-dataset", | ||
| 56 | "title": "Image Dataset" | 56 | "title": "Image Dataset" | ||
| 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 | "description": "", | 67 | "description": "", | ||
| 68 | "display_name": "Urban scene understanding", | 68 | "display_name": "Urban scene understanding", | ||
| 69 | "id": "601c3276-8c2a-4bd4-b442-537ae54a4640", | 69 | "id": "601c3276-8c2a-4bd4-b442-537ae54a4640", | ||
| 70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
| 71 | "name": "urban-scene-understanding", | 71 | "name": "urban-scene-understanding", | ||
| 72 | "title": "Urban scene understanding" | 72 | "title": "Urban scene understanding" | ||
| 73 | } | 73 | } | ||
| 74 | ], | 74 | ], | ||
| 75 | "id": "6da9201f-b5bc-4c3e-80da-4bfcb723485f", | 75 | "id": "6da9201f-b5bc-4c3e-80da-4bfcb723485f", | ||
| 76 | "isopen": false, | 76 | "isopen": false, | ||
| 77 | "landing_page": "https://www.cityscapes-dataset.com/", | 77 | "landing_page": "https://www.cityscapes-dataset.com/", | ||
| 78 | "license_title": null, | 78 | "license_title": null, | ||
| 79 | "link_orkg": "", | 79 | "link_orkg": "", | ||
| 80 | "metadata_created": "2024-12-02T22:46:14.229842", | 80 | "metadata_created": "2024-12-02T22:46:14.229842", | ||
| n | 81 | "metadata_modified": "2024-12-03T00:04:19.006082", | n | 81 | "metadata_modified": "2024-12-03T00:04:20.163478", |
| 82 | "name": | 82 | "name": | ||
| 83 | "the-cityscapes-dataset-for-semantic-urban-scene-understanding", | 83 | "the-cityscapes-dataset-for-semantic-urban-scene-understanding", | ||
| 84 | "notes": "Cityscapes dataset is a large-scale urban scene dataset | 84 | "notes": "Cityscapes dataset is a large-scale urban scene dataset | ||
| 85 | containing 30,000 images of street scenes.", | 85 | containing 30,000 images of street scenes.", | ||
| n | 86 | "num_resources": 0, | n | 86 | "num_resources": 1, |
| 87 | "num_tags": 6, | 87 | "num_tags": 6, | ||
| 88 | "organization": { | 88 | "organization": { | ||
| 89 | "approval_status": "approved", | 89 | "approval_status": "approved", | ||
| 90 | "created": "2024-11-25T12:11:38.292601", | 90 | "created": "2024-11-25T12:11:38.292601", | ||
| 91 | "description": "", | 91 | "description": "", | ||
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| 93 | "image_url": "", | 93 | "image_url": "", | ||
| 94 | "is_organization": true, | 94 | "is_organization": true, | ||
| 95 | "name": "no-organization", | 95 | "name": "no-organization", | ||
| 96 | "state": "active", | 96 | "state": "active", | ||
| 97 | "title": "No Organization", | 97 | "title": "No Organization", | ||
| 98 | "type": "organization" | 98 | "type": "organization" | ||
| 99 | }, | 99 | }, | ||
| 100 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 100 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 101 | "private": false, | 101 | "private": false, | ||
| 102 | "relationships_as_object": [], | 102 | "relationships_as_object": [], | ||
| 103 | "relationships_as_subject": [], | 103 | "relationships_as_subject": [], | ||
| t | 104 | "resources": [], | t | 104 | "resources": [ |
| 105 | { | ||||
| 106 | "cache_last_updated": null, | ||||
| 107 | "cache_url": null, | ||||
| 108 | "created": "2024-12-03T00:20:35", | ||||
| 109 | "data": [ | ||||
| 110 | "dcterms:title", | ||||
| 111 | "dcterms:accessRights", | ||||
| 112 | "dcterms:creator", | ||||
| 113 | "dcterms:description", | ||||
| 114 | "dcterms:issued", | ||||
| 115 | "dcterms:language", | ||||
| 116 | "dcterms:identifier", | ||||
| 117 | "dcat:theme", | ||||
| 118 | "dcterms:type", | ||||
| 119 | "dcat:keyword", | ||||
| 120 | "dcat:landingPage", | ||||
| 121 | "dcterms:hasVersion", | ||||
| 122 | "dcterms:format", | ||||
| 123 | "mls:task", | ||||
| 124 | "datacite:isDescribedBy" | ||||
| 125 | ], | ||||
| 126 | "description": "The json representation of the dataset with its | ||||
| 127 | distributions based on DCAT.", | ||||
| 128 | "format": "JSON", | ||||
| 129 | "hash": "", | ||||
| 130 | "id": "0d5723f5-d32b-456e-a50e-624665f34a74", | ||||
| 131 | "last_modified": "2024-12-03T00:04:20.155179", | ||||
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| 133 | "mimetype": "application/json", | ||||
| 134 | "mimetype_inner": null, | ||||
| 135 | "name": "Original Metadata", | ||||
| 136 | "package_id": "6da9201f-b5bc-4c3e-80da-4bfcb723485f", | ||||
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| 140 | "state": "active", | ||||
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| 142 | resource/0d5723f5-d32b-456e-a50e-624665f34a74/download/metadata.json", | ||||
| 143 | "url_type": "upload" | ||||
| 144 | } | ||||
| 145 | ], | ||||
| 105 | "services_used_list": "", | 146 | "services_used_list": "", | ||
| 106 | "state": "active", | 147 | "state": "active", | ||
| 107 | "tags": [ | 148 | "tags": [ | ||
| 108 | { | 149 | { | ||
| 109 | "display_name": "Cityscapes", | 150 | "display_name": "Cityscapes", | ||
| 110 | "id": "3d213733-ec4f-4a3a-a5e3-8d7c8950c443", | 151 | "id": "3d213733-ec4f-4a3a-a5e3-8d7c8950c443", | ||
| 111 | "name": "Cityscapes", | 152 | "name": "Cityscapes", | ||
| 112 | "state": "active", | 153 | "state": "active", | ||
| 113 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
| 114 | }, | 155 | }, | ||
| 115 | { | 156 | { | ||
| 116 | "display_name": "Semantic Segmentation", | 157 | "display_name": "Semantic Segmentation", | ||
| 117 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 158 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
| 118 | "name": "Semantic Segmentation", | 159 | "name": "Semantic Segmentation", | ||
| 119 | "state": "active", | 160 | "state": "active", | ||
| 120 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
| 121 | }, | 162 | }, | ||
| 122 | { | 163 | { | ||
| 123 | "display_name": "Urban Scene Understanding", | 164 | "display_name": "Urban Scene Understanding", | ||
| 124 | "id": "5722d073-797c-442b-a53f-1e3e29afeba4", | 165 | "id": "5722d073-797c-442b-a53f-1e3e29afeba4", | ||
| 125 | "name": "Urban Scene Understanding", | 166 | "name": "Urban Scene Understanding", | ||
| 126 | "state": "active", | 167 | "state": "active", | ||
| 127 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
| 128 | }, | 169 | }, | ||
| 129 | { | 170 | { | ||
| 130 | "display_name": "image dataset", | 171 | "display_name": "image dataset", | ||
| 131 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | 172 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | ||
| 132 | "name": "image dataset", | 173 | "name": "image dataset", | ||
| 133 | "state": "active", | 174 | "state": "active", | ||
| 134 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
| 135 | }, | 176 | }, | ||
| 136 | { | 177 | { | ||
| 137 | "display_name": "semantic segmentation", | 178 | "display_name": "semantic segmentation", | ||
| 138 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 179 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
| 139 | "name": "semantic segmentation", | 180 | "name": "semantic segmentation", | ||
| 140 | "state": "active", | 181 | "state": "active", | ||
| 141 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
| 142 | }, | 183 | }, | ||
| 143 | { | 184 | { | ||
| 144 | "display_name": "urban scene", | 185 | "display_name": "urban scene", | ||
| 145 | "id": "a3efadff-4336-4a0e-9057-1a47fa83b254", | 186 | "id": "a3efadff-4336-4a0e-9057-1a47fa83b254", | ||
| 146 | "name": "urban scene", | 187 | "name": "urban scene", | ||
| 147 | "state": "active", | 188 | "state": "active", | ||
| 148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
| 149 | } | 190 | } | ||
| 150 | ], | 191 | ], | ||
| 151 | "title": "The Cityscapes Dataset for Semantic Urban Scene | 192 | "title": "The Cityscapes Dataset for Semantic Urban Scene | ||
| 152 | Understanding", | 193 | Understanding", | ||
| 153 | "type": "dataset", | 194 | "type": "dataset", | ||
| 154 | "version": "" | 195 | "version": "" | ||
| 155 | } | 196 | } |