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On December 2, 2024 at 5:39:15 PM UTC,
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Added resource Original Metadata to ImageNet-1K
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Tan Yu", | 3 | "author": "Tan Yu", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
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| 26 | ], | 26 | ], | ||
| 27 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 27 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 28 | "defined_in": "https://doi.org/10.48550/arXiv.2209.07735", | 28 | "defined_in": "https://doi.org/10.48550/arXiv.2209.07735", | ||
| 29 | "doi": "10.57702/6zjyphsv", | 29 | "doi": "10.57702/6zjyphsv", | ||
| 30 | "doi_date_published": "2024-11-25", | 30 | "doi_date_published": "2024-11-25", | ||
| 31 | "doi_publisher": "TIB", | 31 | "doi_publisher": "TIB", | ||
| 32 | "doi_status": true, | 32 | "doi_status": true, | ||
| 33 | "domain": "https://service.tib.eu/ldmservice", | 33 | "domain": "https://service.tib.eu/ldmservice", | ||
| 34 | "extra_authors": [ | 34 | "extra_authors": [ | ||
| 35 | { | 35 | { | ||
| 36 | "extra_author": "Xu Li", | 36 | "extra_author": "Xu Li", | ||
| 37 | "orcid": "" | 37 | "orcid": "" | ||
| 38 | }, | 38 | }, | ||
| 39 | { | 39 | { | ||
| 40 | "extra_author": "Yunfeng Cai", | 40 | "extra_author": "Yunfeng Cai", | ||
| 41 | "orcid": "" | 41 | "orcid": "" | ||
| 42 | }, | 42 | }, | ||
| 43 | { | 43 | { | ||
| 44 | "extra_author": "Mingming Sun", | 44 | "extra_author": "Mingming Sun", | ||
| 45 | "orcid": "" | 45 | "orcid": "" | ||
| 46 | }, | 46 | }, | ||
| 47 | { | 47 | { | ||
| 48 | "extra_author": "Ping Li", | 48 | "extra_author": "Ping Li", | ||
| 49 | "orcid": "" | 49 | "orcid": "" | ||
| 50 | } | 50 | } | ||
| 51 | ], | 51 | ], | ||
| 52 | "groups": [ | 52 | "groups": [ | ||
| 53 | { | 53 | { | ||
| 54 | "description": "", | 54 | "description": "", | ||
| 55 | "display_name": "Computer Vision", | 55 | "display_name": "Computer Vision", | ||
| 56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
| 57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
| 58 | "name": "computer-vision", | 58 | "name": "computer-vision", | ||
| 59 | "title": "Computer Vision" | 59 | "title": "Computer Vision" | ||
| 60 | }, | 60 | }, | ||
| 61 | { | 61 | { | ||
| 62 | "description": "", | 62 | "description": "", | ||
| 63 | "display_name": "Image Classification", | 63 | "display_name": "Image Classification", | ||
| 64 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | 64 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||
| 65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
| 66 | "name": "image-classification", | 66 | "name": "image-classification", | ||
| 67 | "title": "Image Classification" | 67 | "title": "Image Classification" | ||
| 68 | }, | 68 | }, | ||
| 69 | { | 69 | { | ||
| 70 | "description": "", | 70 | "description": "", | ||
| 71 | "display_name": "Natural Language Processing", | 71 | "display_name": "Natural Language Processing", | ||
| 72 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 72 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | ||
| 73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
| 74 | "name": "natural-language-processing", | 74 | "name": "natural-language-processing", | ||
| 75 | "title": "Natural Language Processing" | 75 | "title": "Natural Language Processing" | ||
| 76 | }, | 76 | }, | ||
| 77 | { | 77 | { | ||
| 78 | "description": "", | 78 | "description": "", | ||
| 79 | "display_name": "Object Detection", | 79 | "display_name": "Object Detection", | ||
| 80 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 80 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
| 81 | "image_display_url": "", | 81 | "image_display_url": "", | ||
| 82 | "name": "object-detection", | 82 | "name": "object-detection", | ||
| 83 | "title": "Object Detection" | 83 | "title": "Object Detection" | ||
| 84 | }, | 84 | }, | ||
| 85 | { | 85 | { | ||
| 86 | "description": "", | 86 | "description": "", | ||
| 87 | "display_name": "Semantic Segmentation", | 87 | "display_name": "Semantic Segmentation", | ||
| 88 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 88 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
| 89 | "image_display_url": "", | 89 | "image_display_url": "", | ||
| 90 | "name": "semantic-segmentation", | 90 | "name": "semantic-segmentation", | ||
| 91 | "title": "Semantic Segmentation" | 91 | "title": "Semantic Segmentation" | ||
| 92 | }, | 92 | }, | ||
| 93 | { | 93 | { | ||
| 94 | "description": "", | 94 | "description": "", | ||
| 95 | "display_name": "Video Classification", | 95 | "display_name": "Video Classification", | ||
| 96 | "id": "1b6daec6-75b6-4254-b646-3df8c5ba3b6c", | 96 | "id": "1b6daec6-75b6-4254-b646-3df8c5ba3b6c", | ||
| 97 | "image_display_url": "", | 97 | "image_display_url": "", | ||
| 98 | "name": "video-classification", | 98 | "name": "video-classification", | ||
| 99 | "title": "Video Classification" | 99 | "title": "Video Classification" | ||
| 100 | } | 100 | } | ||
| 101 | ], | 101 | ], | ||
| 102 | "id": "67eae49e-386c-439e-8272-4a847cfff8b7", | 102 | "id": "67eae49e-386c-439e-8272-4a847cfff8b7", | ||
| 103 | "isopen": false, | 103 | "isopen": false, | ||
| 104 | "landing_page": "https://www.image-net.org/", | 104 | "landing_page": "https://www.image-net.org/", | ||
| 105 | "license_title": null, | 105 | "license_title": null, | ||
| 106 | "link_orkg": "", | 106 | "link_orkg": "", | ||
| 107 | "metadata_created": "2024-11-25T14:52:17.844637", | 107 | "metadata_created": "2024-11-25T14:52:17.844637", | ||
| n | 108 | "metadata_modified": "2024-12-02T17:39:13.721351", | n | 108 | "metadata_modified": "2024-12-02T17:39:14.907463", |
| 109 | "name": "imagenet-1k", | 109 | "name": "imagenet-1k", | ||
| 110 | "notes": "The dataset used in the paper is not explicitly described, | 110 | "notes": "The dataset used in the paper is not explicitly described, | ||
| 111 | but it is mentioned that the authors used small-scale image | 111 | but it is mentioned that the authors used small-scale image | ||
| 112 | recognition datasets such as Mini-ImageNet, CIFAR-10, CIFAR-100, and | 112 | recognition datasets such as Mini-ImageNet, CIFAR-10, CIFAR-100, and | ||
| 113 | Fashion-MNIST.", | 113 | Fashion-MNIST.", | ||
| n | 114 | "num_resources": 0, | n | 114 | "num_resources": 1, |
| 115 | "num_tags": 30, | 115 | "num_tags": 30, | ||
| 116 | "organization": { | 116 | "organization": { | ||
| 117 | "approval_status": "approved", | 117 | "approval_status": "approved", | ||
| 118 | "created": "2024-11-25T12:11:38.292601", | 118 | "created": "2024-11-25T12:11:38.292601", | ||
| 119 | "description": "", | 119 | "description": "", | ||
| 120 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 120 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 121 | "image_url": "", | 121 | "image_url": "", | ||
| 122 | "is_organization": true, | 122 | "is_organization": true, | ||
| 123 | "name": "no-organization", | 123 | "name": "no-organization", | ||
| 124 | "state": "active", | 124 | "state": "active", | ||
| 125 | "title": "No Organization", | 125 | "title": "No Organization", | ||
| 126 | "type": "organization" | 126 | "type": "organization" | ||
| 127 | }, | 127 | }, | ||
| 128 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 128 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 129 | "private": false, | 129 | "private": false, | ||
| 130 | "relationships_as_object": [], | 130 | "relationships_as_object": [], | ||
| 131 | "relationships_as_subject": [], | 131 | "relationships_as_subject": [], | ||
| t | 132 | "resources": [], | t | 132 | "resources": [ |
| 133 | { | ||||
| 134 | "cache_last_updated": null, | ||||
| 135 | "cache_url": null, | ||||
| 136 | "created": "2024-12-02T18:38:42", | ||||
| 137 | "data": [ | ||||
| 138 | "dcterms:title", | ||||
| 139 | "dcterms:accessRights", | ||||
| 140 | "dcterms:creator", | ||||
| 141 | "dcterms:description", | ||||
| 142 | "dcterms:issued", | ||||
| 143 | "dcterms:language", | ||||
| 144 | "dcterms:identifier", | ||||
| 145 | "dcat:theme", | ||||
| 146 | "dcterms:type", | ||||
| 147 | "dcat:keyword", | ||||
| 148 | "dcat:landingPage", | ||||
| 149 | "dcterms:hasVersion", | ||||
| 150 | "dcterms:format", | ||||
| 151 | "mls:task", | ||||
| 152 | "datacite:isDescribedBy" | ||||
| 153 | ], | ||||
| 154 | "description": "The json representation of the dataset with its | ||||
| 155 | distributions based on DCAT.", | ||||
| 156 | "format": "JSON", | ||||
| 157 | "hash": "", | ||||
| 158 | "id": "36cf9a6a-d761-4093-95d9-37d6610f2a8b", | ||||
| 159 | "last_modified": "2024-12-02T17:39:14.896230", | ||||
| 160 | "metadata_modified": "2024-12-02T17:39:14.910772", | ||||
| 161 | "mimetype": "application/json", | ||||
| 162 | "mimetype_inner": null, | ||||
| 163 | "name": "Original Metadata", | ||||
| 164 | "package_id": "67eae49e-386c-439e-8272-4a847cfff8b7", | ||||
| 165 | "position": 0, | ||||
| 166 | "resource_type": null, | ||||
| 167 | "size": 2367, | ||||
| 168 | "state": "active", | ||||
| 169 | "url": | ||||
| 170 | resource/36cf9a6a-d761-4093-95d9-37d6610f2a8b/download/metadata.json", | ||||
| 171 | "url_type": "upload" | ||||
| 172 | } | ||||
| 173 | ], | ||||
| 133 | "services_used_list": "", | 174 | "services_used_list": "", | ||
| 134 | "state": "active", | 175 | "state": "active", | ||
| 135 | "tags": [ | 176 | "tags": [ | ||
| 136 | { | 177 | { | ||
| 137 | "display_name": "Classification", | 178 | "display_name": "Classification", | ||
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| 140 | "state": "active", | 181 | "state": "active", | ||
| 141 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
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| 148 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
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| 150 | { | 191 | { | ||
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| 155 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
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| 162 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
| 163 | }, | 204 | }, | ||
| 164 | { | 205 | { | ||
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| 167 | "name": "Hierarchical Image Database", | 208 | "name": "Hierarchical Image Database", | ||
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| 176 | "vocabulary_id": null | 217 | "vocabulary_id": null | ||
| 177 | }, | 218 | }, | ||
| 178 | { | 219 | { | ||
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| 183 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
| 184 | }, | 225 | }, | ||
| 185 | { | 226 | { | ||
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| 190 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
| 191 | }, | 232 | }, | ||
| 192 | { | 233 | { | ||
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| 223 | "name": "Large-Scale Dataset", | 264 | "name": "Large-Scale Dataset", | ||
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| 248 | { | 289 | { | ||
| 249 | "display_name": "Natural Language Processing", | 290 | "display_name": "Natural Language Processing", | ||
| 250 | "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe", | 291 | "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe", | ||
| 251 | "name": "Natural Language Processing", | 292 | "name": "Natural Language Processing", | ||
| 252 | "state": "active", | 293 | "state": "active", | ||
| 253 | "vocabulary_id": null | 294 | "vocabulary_id": null | ||
| 254 | }, | 295 | }, | ||
| 255 | { | 296 | { | ||
| 256 | "display_name": "Object Detection", | 297 | "display_name": "Object Detection", | ||
| 257 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 298 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
| 258 | "name": "Object Detection", | 299 | "name": "Object Detection", | ||
| 259 | "state": "active", | 300 | "state": "active", | ||
| 260 | "vocabulary_id": null | 301 | "vocabulary_id": null | ||
| 261 | }, | 302 | }, | ||
| 262 | { | 303 | { | ||
| 263 | "display_name": "Object detection", | 304 | "display_name": "Object detection", | ||
| 264 | "id": "84a57b7d-e522-4fc2-9f65-9aeb121659f1", | 305 | "id": "84a57b7d-e522-4fc2-9f65-9aeb121659f1", | ||
| 265 | "name": "Object detection", | 306 | "name": "Object detection", | ||
| 266 | "state": "active", | 307 | "state": "active", | ||
| 267 | "vocabulary_id": null | 308 | "vocabulary_id": null | ||
| 268 | }, | 309 | }, | ||
| 269 | { | 310 | { | ||
| 270 | "display_name": "Scale Invariant", | 311 | "display_name": "Scale Invariant", | ||
| 271 | "id": "8a7e3885-ebbc-41f5-879a-45c977ecc4e7", | 312 | "id": "8a7e3885-ebbc-41f5-879a-45c977ecc4e7", | ||
| 272 | "name": "Scale Invariant", | 313 | "name": "Scale Invariant", | ||
| 273 | "state": "active", | 314 | "state": "active", | ||
| 274 | "vocabulary_id": null | 315 | "vocabulary_id": null | ||
| 275 | }, | 316 | }, | ||
| 276 | { | 317 | { | ||
| 277 | "display_name": "Segmentation", | 318 | "display_name": "Segmentation", | ||
| 278 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | 319 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | ||
| 279 | "name": "Segmentation", | 320 | "name": "Segmentation", | ||
| 280 | "state": "active", | 321 | "state": "active", | ||
| 281 | "vocabulary_id": null | 322 | "vocabulary_id": null | ||
| 282 | }, | 323 | }, | ||
| 283 | { | 324 | { | ||
| 284 | "display_name": "Semantic segmentation", | 325 | "display_name": "Semantic segmentation", | ||
| 285 | "id": "ca545ae5-2da2-4e71-98b7-3268890347d1", | 326 | "id": "ca545ae5-2da2-4e71-98b7-3268890347d1", | ||
| 286 | "name": "Semantic segmentation", | 327 | "name": "Semantic segmentation", | ||
| 287 | "state": "active", | 328 | "state": "active", | ||
| 288 | "vocabulary_id": null | 329 | "vocabulary_id": null | ||
| 289 | }, | 330 | }, | ||
| 290 | { | 331 | { | ||
| 291 | "display_name": "Video Classification", | 332 | "display_name": "Video Classification", | ||
| 292 | "id": "0efdf60d-08ed-43fd-b284-3ae2e6890178", | 333 | "id": "0efdf60d-08ed-43fd-b284-3ae2e6890178", | ||
| 293 | "name": "Video Classification", | 334 | "name": "Video Classification", | ||
| 294 | "state": "active", | 335 | "state": "active", | ||
| 295 | "vocabulary_id": null | 336 | "vocabulary_id": null | ||
| 296 | }, | 337 | }, | ||
| 297 | { | 338 | { | ||
| 298 | "display_name": "Vision Transformer", | 339 | "display_name": "Vision Transformer", | ||
| 299 | "id": "7d1dddfb-e319-4d4e-ab84-bd7867b67bc4", | 340 | "id": "7d1dddfb-e319-4d4e-ab84-bd7867b67bc4", | ||
| 300 | "name": "Vision Transformer", | 341 | "name": "Vision Transformer", | ||
| 301 | "state": "active", | 342 | "state": "active", | ||
| 302 | "vocabulary_id": null | 343 | "vocabulary_id": null | ||
| 303 | }, | 344 | }, | ||
| 304 | { | 345 | { | ||
| 305 | "display_name": "Vision Transformers", | 346 | "display_name": "Vision Transformers", | ||
| 306 | "id": "53a1aaac-eb0f-41e2-a6f1-1461b453add1", | 347 | "id": "53a1aaac-eb0f-41e2-a6f1-1461b453add1", | ||
| 307 | "name": "Vision Transformers", | 348 | "name": "Vision Transformers", | ||
| 308 | "state": "active", | 349 | "state": "active", | ||
| 309 | "vocabulary_id": null | 350 | "vocabulary_id": null | ||
| 310 | }, | 351 | }, | ||
| 311 | { | 352 | { | ||
| 312 | "display_name": "deep learning", | 353 | "display_name": "deep learning", | ||
| 313 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | 354 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||
| 314 | "name": "deep learning", | 355 | "name": "deep learning", | ||
| 315 | "state": "active", | 356 | "state": "active", | ||
| 316 | "vocabulary_id": null | 357 | "vocabulary_id": null | ||
| 317 | }, | 358 | }, | ||
| 318 | { | 359 | { | ||
| 319 | "display_name": "image classification", | 360 | "display_name": "image classification", | ||
| 320 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | 361 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||
| 321 | "name": "image classification", | 362 | "name": "image classification", | ||
| 322 | "state": "active", | 363 | "state": "active", | ||
| 323 | "vocabulary_id": null | 364 | "vocabulary_id": null | ||
| 324 | }, | 365 | }, | ||
| 325 | { | 366 | { | ||
| 326 | "display_name": "large-scale dataset", | 367 | "display_name": "large-scale dataset", | ||
| 327 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | 368 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||
| 328 | "name": "large-scale dataset", | 369 | "name": "large-scale dataset", | ||
| 329 | "state": "active", | 370 | "state": "active", | ||
| 330 | "vocabulary_id": null | 371 | "vocabulary_id": null | ||
| 331 | }, | 372 | }, | ||
| 332 | { | 373 | { | ||
| 333 | "display_name": "object detection", | 374 | "display_name": "object detection", | ||
| 334 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 375 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||
| 335 | "name": "object detection", | 376 | "name": "object detection", | ||
| 336 | "state": "active", | 377 | "state": "active", | ||
| 337 | "vocabulary_id": null | 378 | "vocabulary_id": null | ||
| 338 | }, | 379 | }, | ||
| 339 | { | 380 | { | ||
| 340 | "display_name": "segmentation", | 381 | "display_name": "segmentation", | ||
| 341 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | 382 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||
| 342 | "name": "segmentation", | 383 | "name": "segmentation", | ||
| 343 | "state": "active", | 384 | "state": "active", | ||
| 344 | "vocabulary_id": null | 385 | "vocabulary_id": null | ||
| 345 | } | 386 | } | ||
| 346 | ], | 387 | ], | ||
| 347 | "title": "ImageNet-1K", | 388 | "title": "ImageNet-1K", | ||
| 348 | "type": "dataset", | 389 | "type": "dataset", | ||
| 349 | "version": "" | 390 | "version": "" | ||
| 350 | } | 391 | } |