Changes
On December 2, 2024 at 5:51:43 PM UTC,
admin:
-
Changed title to ADE20k (previously ADE20K)
-
Set author of ADE20k to Shanghua Gao (previously Bolei Zhou)
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Updated description of ADE20k from
Semantic segmentation is a fundamental problem in computer vision. In the last years, thanks to the emergence of deep neural networks and to the availability of large-scale human-annotated datasets, the state of the art has improved significantly.
toSemantic segmentation is one of the fundamental prob-lems in computer vision, whose task is to assign a seman-tic label to each pixel of an image so that different classes can be distinguished.
-
Removed the following tags from ADE20k
- dense prediction
- natural scene
- Scene Parsing
- Object Detection
- Object Segmentation
- Depth Estimation
- ADE20K
- image dataset
- benchmark
- Instance Segmentation
- transformers
- image segmentation
- Image Matting
- object detection
- image classification
- semantic image segmentation
- urban scenes
- affordance
- Object Recognition
- Panoptic Segmentation
- scene understanding
- depth estimation
- general scene parsing
- Image segmentation
- Image Classification
- ADE20K dataset
- vision transformer
- segmentation
- Deep Learning
- Scene Segmentation
- scene parsing
- dataset
- Semantic segmentation
- ade20k
- densely annotated image
- Scene Understanding
- monocular
-
Added the following tags to ADE20k
-
Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2204.13101
in ADE20k -
Changed value of field
extra_authors
to[{'extra_author': 'Pan Zhou', 'orcid': ''}, {'extra_author': 'Ming-Ming Cheng', 'orcid': ''}, {'extra_author': 'Shuicheng Yan', 'orcid': ''}]
in ADE20k -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2312.01987', 'https://doi.org/10.48550/arXiv.2212.02019', 'https://doi.org/10.1145/3581783.3612260', 'https://doi.org/10.48550/arXiv.1701.07122']
in ADE20k -
Deleted resource Original Metadata from ADE20k
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Bolei Zhou", | n | 3 | "author": "Shanghua Gao", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
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| 39 | ], | 10 | ], | ||
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| n | 41 | "defined_in": "https://doi.org/10.48550/arXiv.2011.11675", | n | 12 | "defined_in": "https://doi.org/10.48550/arXiv.2204.13101", |
| 42 | "doi": "10.57702/4nh8h4yr", | 13 | "doi": "10.57702/4nh8h4yr", | ||
| 43 | "doi_date_published": "2024-11-25", | 14 | "doi_date_published": "2024-11-25", | ||
| 44 | "doi_publisher": "TIB", | 15 | "doi_publisher": "TIB", | ||
| 45 | "doi_status": true, | 16 | "doi_status": true, | ||
| 46 | "domain": "https://service.tib.eu/ldmservice", | 17 | "domain": "https://service.tib.eu/ldmservice", | ||
| 47 | "extra_authors": [ | 18 | "extra_authors": [ | ||
| 48 | { | 19 | { | ||
| n | 49 | "extra_author": "Hang Zhao", | n | 20 | "extra_author": "Pan Zhou", |
| 50 | "orcid": "" | 21 | "orcid": "" | ||
| 51 | }, | 22 | }, | ||
| 52 | { | 23 | { | ||
| n | 53 | "extra_author": "Xavier Puig", | n | 24 | "extra_author": "Ming-Ming Cheng", |
| 54 | "orcid": "" | 25 | "orcid": "" | ||
| 55 | }, | 26 | }, | ||
| 56 | { | 27 | { | ||
| n | 57 | "extra_author": "Sanja Fidler", | n | 28 | "extra_author": "Shuicheng Yan", |
| 58 | "orcid": "" | ||||
| 59 | }, | ||||
| 60 | { | ||||
| 61 | "extra_author": "Adela Barriuso", | ||||
| 62 | "orcid": "" | ||||
| 63 | }, | ||||
| 64 | { | ||||
| 65 | "extra_author": "Antonio Torralba", | ||||
| 66 | "orcid": "" | 29 | "orcid": "" | ||
| 67 | } | 30 | } | ||
| 68 | ], | 31 | ], | ||
| 69 | "groups": [ | 32 | "groups": [ | ||
| n | 70 | { | n | ||
| 71 | "description": "", | ||||
| 72 | "display_name": "Affordance Segmentation", | ||||
| 73 | "id": "55ae002f-0381-45df-8ac3-60ab705f2267", | ||||
| 74 | "image_display_url": "", | ||||
| 75 | "name": "affordance-segmentation", | ||||
| 76 | "title": "Affordance Segmentation" | ||||
| 77 | }, | ||||
| 78 | { | ||||
| 79 | "description": "", | ||||
| 80 | "display_name": "Computer Vision", | ||||
| 81 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||||
| 82 | "image_display_url": "", | ||||
| 83 | "name": "computer-vision", | ||||
| 84 | "title": "Computer Vision" | ||||
| 85 | }, | ||||
| 86 | { | ||||
| 87 | "description": "", | ||||
| 88 | "display_name": "Densely Annotated Image", | ||||
| 89 | "id": "34758656-c043-4db5-8f41-9dfac534aac9", | ||||
| 90 | "image_display_url": "", | ||||
| 91 | "name": "densely-annotated-image", | ||||
| 92 | "title": "Densely Annotated Image" | ||||
| 93 | }, | ||||
| 94 | { | ||||
| 95 | "description": "", | ||||
| 96 | "display_name": "Depth Estimation", | ||||
| 97 | "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", | ||||
| 98 | "image_display_url": "", | ||||
| 99 | "name": "depth-estimation", | ||||
| 100 | "title": "Depth Estimation" | ||||
| 101 | }, | ||||
| 102 | { | ||||
| 103 | "description": "", | ||||
| 104 | "display_name": "General Scene Parsing", | ||||
| 105 | "id": "13c1e457-89c4-4d62-b932-007ca1a28c9a", | ||||
| 106 | "image_display_url": "", | ||||
| 107 | "name": "general-scene-parsing", | ||||
| 108 | "title": "General Scene Parsing" | ||||
| 109 | }, | ||||
| 110 | { | 33 | { | ||
| 111 | "description": "", | 34 | "description": "", | ||
| 112 | "display_name": "Image Segmentation", | 35 | "display_name": "Image Segmentation", | ||
| 113 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | 36 | "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", | ||
| 114 | "image_display_url": "", | 37 | "image_display_url": "", | ||
| 115 | "name": "image-segmentation", | 38 | "name": "image-segmentation", | ||
| 116 | "title": "Image Segmentation" | 39 | "title": "Image Segmentation" | ||
| 117 | }, | 40 | }, | ||
| 118 | { | 41 | { | ||
| 119 | "description": "", | 42 | "description": "", | ||
| n | 120 | "display_name": "Natural Scene Understanding", | n | 43 | "display_name": "Image Understanding", |
| 121 | "id": "ee36a499-a58b-4498-bcae-3ec4b0ec9a99", | 44 | "id": "638a25dd-1bfb-497e-89d2-287a377aa4f6", | ||
| 122 | "image_display_url": "", | 45 | "image_display_url": "", | ||
| n | 123 | "name": "natural-scene-understanding", | n | 46 | "name": "image-understanding", |
| 124 | "title": "Natural Scene Understanding" | 47 | "title": "Image Understanding" | ||
| 125 | }, | 48 | }, | ||
| 126 | { | 49 | { | ||
| 127 | "description": "", | 50 | "description": "", | ||
| 128 | "display_name": "Object Detection", | 51 | "display_name": "Object Detection", | ||
| 129 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 52 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
| 130 | "image_display_url": "", | 53 | "image_display_url": "", | ||
| 131 | "name": "object-detection", | 54 | "name": "object-detection", | ||
| 132 | "title": "Object Detection" | 55 | "title": "Object Detection" | ||
| n | 133 | }, | n | ||
| 134 | { | ||||
| 135 | "description": "", | ||||
| 136 | "display_name": "Object Segmentation", | ||||
| 137 | "id": "da2dd0b7-d324-469d-92f8-0af74e1a1bae", | ||||
| 138 | "image_display_url": "", | ||||
| 139 | "name": "object-segmentation", | ||||
| 140 | "title": "Object Segmentation" | ||||
| 141 | }, | ||||
| 142 | { | ||||
| 143 | "description": "", | ||||
| 144 | "display_name": "Scene Parsing", | ||||
| 145 | "id": "057fda39-a517-4596-b707-207f9da4c188", | ||||
| 146 | "image_display_url": "", | ||||
| 147 | "name": "scene-parsing", | ||||
| 148 | "title": "Scene Parsing" | ||||
| 149 | }, | ||||
| 150 | { | ||||
| 151 | "description": "", | ||||
| 152 | "display_name": "Scene Segmentation", | ||||
| 153 | "id": "69266901-10c5-4367-b59e-e438f0dd6e34", | ||||
| 154 | "image_display_url": "", | ||||
| 155 | "name": "scene-segmentation", | ||||
| 156 | "title": "Scene Segmentation" | ||||
| 157 | }, | ||||
| 158 | { | ||||
| 159 | "description": "", | ||||
| 160 | "display_name": "Scene Understanding", | ||||
| 161 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | ||||
| 162 | "image_display_url": "", | ||||
| 163 | "name": "scene-understanding", | ||||
| 164 | "title": "Scene Understanding" | ||||
| 165 | }, | 56 | }, | ||
| 166 | { | 57 | { | ||
| 167 | "description": "", | 58 | "description": "", | ||
| 168 | "display_name": "Semantic Segmentation", | 59 | "display_name": "Semantic Segmentation", | ||
| 169 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 60 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
| 170 | "image_display_url": "", | 61 | "image_display_url": "", | ||
| 171 | "name": "semantic-segmentation", | 62 | "name": "semantic-segmentation", | ||
| 172 | "title": "Semantic Segmentation" | 63 | "title": "Semantic Segmentation" | ||
| 173 | } | 64 | } | ||
| 174 | ], | 65 | ], | ||
| 175 | "id": "9ae113e2-0320-4118-8359-5865d44cdff3", | 66 | "id": "9ae113e2-0320-4118-8359-5865d44cdff3", | ||
| 176 | "isopen": false, | 67 | "isopen": false, | ||
| 177 | "landing_page": "https://www.ade20k.com/", | 68 | "landing_page": "https://www.ade20k.com/", | ||
| 178 | "license_title": null, | 69 | "license_title": null, | ||
| 179 | "link_orkg": "", | 70 | "link_orkg": "", | ||
| 180 | "metadata_created": "2024-11-25T14:44:48.644589", | 71 | "metadata_created": "2024-11-25T14:44:48.644589", | ||
| n | 181 | "metadata_modified": "2024-12-02T17:49:01.650264", | n | 72 | "metadata_modified": "2024-12-02T17:51:42.788824", |
| 182 | "name": "ade20k", | 73 | "name": "ade20k", | ||
| n | 183 | "notes": "Semantic segmentation is a fundamental problem in computer | n | 74 | "notes": "Semantic segmentation is one of the fundamental prob-lems |
| 184 | vision. In the last years, thanks to the emergence of deep neural | 75 | in computer vision, whose task is to assign a seman-tic label to each | ||
| 185 | networks and to the availability of large-scale human-annotated | 76 | pixel of an image so that different classes can be distinguished.", | ||
| 186 | datasets, the state of the art has improved significantly.", | ||||
| 187 | "num_resources": 1, | 77 | "num_resources": 0, | ||
| 188 | "num_tags": 44, | 78 | "num_tags": 12, | ||
| 189 | "organization": { | 79 | "organization": { | ||
| 190 | "approval_status": "approved", | 80 | "approval_status": "approved", | ||
| 191 | "created": "2024-11-25T12:11:38.292601", | 81 | "created": "2024-11-25T12:11:38.292601", | ||
| 192 | "description": "", | 82 | "description": "", | ||
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| 194 | "image_url": "", | 84 | "image_url": "", | ||
| 195 | "is_organization": true, | 85 | "is_organization": true, | ||
| 196 | "name": "no-organization", | 86 | "name": "no-organization", | ||
| 197 | "state": "active", | 87 | "state": "active", | ||
| 198 | "title": "No Organization", | 88 | "title": "No Organization", | ||
| 199 | "type": "organization" | 89 | "type": "organization" | ||
| 200 | }, | 90 | }, | ||
| 201 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 91 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 202 | "private": false, | 92 | "private": false, | ||
| 203 | "relationships_as_object": [], | 93 | "relationships_as_object": [], | ||
| 204 | "relationships_as_subject": [], | 94 | "relationships_as_subject": [], | ||
| n | 205 | "resources": [ | n | 95 | "resources": [], |
| 206 | { | ||||
| 207 | "cache_last_updated": null, | ||||
| 208 | "cache_url": null, | ||||
| 209 | "created": "2024-12-02T18:38:42", | ||||
| 210 | "data": [ | ||||
| 211 | "dcterms:title", | ||||
| 212 | "dcterms:accessRights", | ||||
| 213 | "dcterms:creator", | ||||
| 214 | "dcterms:description", | ||||
| 215 | "dcterms:issued", | ||||
| 216 | "dcterms:language", | ||||
| 217 | "dcterms:identifier", | ||||
| 218 | "dcat:theme", | ||||
| 219 | "dcterms:type", | ||||
| 220 | "dcat:keyword", | ||||
| 221 | "dcat:landingPage", | ||||
| 222 | "dcterms:hasVersion", | ||||
| 223 | "dcterms:format", | ||||
| 224 | "mls:task", | ||||
| 225 | "datacite:isDescribedBy" | ||||
| 226 | ], | ||||
| 227 | "description": "The json representation of the dataset with its | ||||
| 228 | distributions based on DCAT.", | ||||
| 229 | "format": "JSON", | ||||
| 230 | "hash": "", | ||||
| 231 | "id": "4c75104f-ae86-4019-8d9c-467c0c320909", | ||||
| 232 | "last_modified": "2024-12-02T17:49:01.636593", | ||||
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| 234 | "mimetype": "application/json", | ||||
| 235 | "mimetype_inner": null, | ||||
| 236 | "name": "Original Metadata", | ||||
| 237 | "package_id": "9ae113e2-0320-4118-8359-5865d44cdff3", | ||||
| 238 | "position": 0, | ||||
| 239 | "resource_type": null, | ||||
| 240 | "size": 3209, | ||||
| 241 | "state": "active", | ||||
| 242 | "url": | ||||
| 243 | resource/4c75104f-ae86-4019-8d9c-467c0c320909/download/metadata.json", | ||||
| 244 | "url_type": "upload" | ||||
| 245 | } | ||||
| 246 | ], | ||||
| 247 | "services_used_list": "", | 96 | "services_used_list": "", | ||
| 248 | "state": "active", | 97 | "state": "active", | ||
| 249 | "tags": [ | 98 | "tags": [ | ||
| 250 | { | 99 | { | ||
| n | 251 | "display_name": "ADE20K", | n | 100 | "display_name": "ADE20k", |
| 252 | "id": "0c499fde-6255-4c36-bce6-9183a1c622bf", | 101 | "id": "1d739766-b0a5-4e00-acf3-69c1d2449181", | ||
| 253 | "name": "ADE20K", | 102 | "name": "ADE20k", | ||
| 254 | "state": "active", | ||||
| 255 | "vocabulary_id": null | ||||
| 256 | }, | ||||
| 257 | { | ||||
| 258 | "display_name": "ADE20K dataset", | ||||
| 259 | "id": "3c3593bb-990c-4642-84c9-7d4f60c33f48", | ||||
| 260 | "name": "ADE20K dataset", | ||||
| 261 | "state": "active", | 103 | "state": "active", | ||
| 262 | "vocabulary_id": null | 104 | "vocabulary_id": null | ||
| 263 | }, | 105 | }, | ||
| 264 | { | 106 | { | ||
| 265 | "display_name": "Computer Vision", | 107 | "display_name": "Computer Vision", | ||
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| 267 | "name": "Computer Vision", | 109 | "name": "Computer Vision", | ||
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| 269 | "vocabulary_id": null | 111 | "vocabulary_id": null | ||
| 270 | }, | 112 | }, | ||
| 271 | { | 113 | { | ||
| n | 272 | "display_name": "Deep Learning", | n | ||
| 273 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | ||||
| 274 | "name": "Deep Learning", | ||||
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| 278 | { | ||||
| 279 | "display_name": "Depth Estimation", | ||||
| 280 | "id": "559df65c-baac-4373-9e7e-6732051e61ec", | ||||
| 281 | "name": "Depth Estimation", | ||||
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| 285 | { | ||||
| 286 | "display_name": "Image Classification", | ||||
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| 288 | "name": "Image Classification", | ||||
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| 292 | { | ||||
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| 295 | "name": "Image Matting", | ||||
| 296 | "state": "active", | ||||
| 297 | "vocabulary_id": null | ||||
| 298 | }, | ||||
| 299 | { | ||||
| 300 | "display_name": "Image Segmentation", | 114 | "display_name": "Image Segmentation", | ||
| 301 | "id": "f5603951-aef2-4539-8066-15e72f32271b", | 115 | "id": "f5603951-aef2-4539-8066-15e72f32271b", | ||
| 302 | "name": "Image Segmentation", | 116 | "name": "Image Segmentation", | ||
| 303 | "state": "active", | 117 | "state": "active", | ||
| 304 | "vocabulary_id": null | 118 | "vocabulary_id": null | ||
| 305 | }, | 119 | }, | ||
| 306 | { | 120 | { | ||
| n | 307 | "display_name": "Image segmentation", | n | 121 | "display_name": "Large Scale", |
| 308 | "id": "8ab34344-1929-4cd3-a55a-af732b0cf13b", | 122 | "id": "9d0a7af8-406e-4d7d-b558-ac2b45093bbf", | ||
| 309 | "name": "Image segmentation", | 123 | "name": "Large Scale", | ||
| 310 | "state": "active", | ||||
| 311 | "vocabulary_id": null | ||||
| 312 | }, | ||||
| 313 | { | ||||
| 314 | "display_name": "Instance Segmentation", | ||||
| 315 | "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", | ||||
| 316 | "name": "Instance Segmentation", | ||||
| 317 | "state": "active", | ||||
| 318 | "vocabulary_id": null | ||||
| 319 | }, | ||||
| 320 | { | ||||
| 321 | "display_name": "Object Detection", | ||||
| 322 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||||
| 323 | "name": "Object Detection", | ||||
| 324 | "state": "active", | ||||
| 325 | "vocabulary_id": null | ||||
| 326 | }, | ||||
| 327 | { | ||||
| 328 | "display_name": "Object Recognition", | ||||
| 329 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | ||||
| 330 | "name": "Object Recognition", | ||||
| 331 | "state": "active", | ||||
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| 333 | }, | ||||
| 334 | { | ||||
| 335 | "display_name": "Object Segmentation", | ||||
| 336 | "id": "64ca9c05-1123-404f-b679-7768b2ff55d2", | ||||
| 337 | "name": "Object Segmentation", | ||||
| 338 | "state": "active", | ||||
| 339 | "vocabulary_id": null | ||||
| 340 | }, | ||||
| 341 | { | ||||
| 342 | "display_name": "Panoptic Segmentation", | ||||
| 343 | "id": "62316d6b-da93-440f-b9fd-8fddeba46d6d", | ||||
| 344 | "name": "Panoptic Segmentation", | ||||
| 345 | "state": "active", | ||||
| 346 | "vocabulary_id": null | ||||
| 347 | }, | ||||
| 348 | { | ||||
| 349 | "display_name": "Scene Parsing", | ||||
| 350 | "id": "273c0d57-c0e5-4d78-afa3-7b733228c50e", | ||||
| 351 | "name": "Scene Parsing", | ||||
| 352 | "state": "active", | ||||
| 353 | "vocabulary_id": null | ||||
| 354 | }, | ||||
| 355 | { | ||||
| 356 | "display_name": "Scene Segmentation", | ||||
| 357 | "id": "a421d736-de87-4bf6-b0ca-865cede9173a", | ||||
| 358 | "name": "Scene Segmentation", | ||||
| 359 | "state": "active", | ||||
| 360 | "vocabulary_id": null | ||||
| 361 | }, | ||||
| 362 | { | ||||
| 363 | "display_name": "Scene Understanding", | ||||
| 364 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||||
| 365 | "name": "Scene Understanding", | ||||
| 366 | "state": "active", | 124 | "state": "active", | ||
| 367 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
| 368 | }, | 126 | }, | ||
| 369 | { | 127 | { | ||
| 370 | "display_name": "Semantic Segmentation", | 128 | "display_name": "Semantic Segmentation", | ||
| 371 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | 129 | "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", | ||
| 372 | "name": "Semantic Segmentation", | 130 | "name": "Semantic Segmentation", | ||
| 373 | "state": "active", | 131 | "state": "active", | ||
| 374 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
| 375 | }, | 133 | }, | ||
| 376 | { | 134 | { | ||
| n | 377 | "display_name": "Semantic segmentation", | n | ||
| 378 | "id": "ca545ae5-2da2-4e71-98b7-3268890347d1", | ||||
| 379 | "name": "Semantic segmentation", | ||||
| 380 | "state": "active", | ||||
| 381 | "vocabulary_id": null | ||||
| 382 | }, | ||||
| 383 | { | ||||
| 384 | "display_name": "ade20k", | ||||
| 385 | "id": "a2e95889-f8d0-4aea-ba84-928e14599d95", | ||||
| 386 | "name": "ade20k", | ||||
| 387 | "state": "active", | ||||
| 388 | "vocabulary_id": null | ||||
| 389 | }, | ||||
| 390 | { | ||||
| 391 | "display_name": "affordance", | ||||
| 392 | "id": "b6fa4863-e3f3-4f5d-8bc3-f4336741ad31", | ||||
| 393 | "name": "affordance", | ||||
| 394 | "state": "active", | ||||
| 395 | "vocabulary_id": null | ||||
| 396 | }, | ||||
| 397 | { | ||||
| 398 | "display_name": "benchmark", | ||||
| 399 | "id": "e3d4984e-822c-4023-a134-9cacabcfc36d", | ||||
| 400 | "name": "benchmark", | ||||
| 401 | "state": "active", | ||||
| 402 | "vocabulary_id": null | ||||
| 403 | }, | ||||
| 404 | { | ||||
| 405 | "display_name": "dataset", | ||||
| 406 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | ||||
| 407 | "name": "dataset", | ||||
| 408 | "state": "active", | ||||
| 409 | "vocabulary_id": null | ||||
| 410 | }, | ||||
| 411 | { | ||||
| 412 | "display_name": "dense prediction", | ||||
| 413 | "id": "e6dac3ed-8986-4b19-a363-bae3a3ececad", | ||||
| 414 | "name": "dense prediction", | ||||
| 415 | "state": "active", | ||||
| 416 | "vocabulary_id": null | ||||
| 417 | }, | ||||
| 418 | { | ||||
| 419 | "display_name": "densely annotated image", | ||||
| 420 | "id": "9f78680b-2af5-40da-9606-acb0a5d69e16", | ||||
| 421 | "name": "densely annotated image", | ||||
| 422 | "state": "active", | ||||
| 423 | "vocabulary_id": null | ||||
| 424 | }, | ||||
| 425 | { | ||||
| 426 | "display_name": "depth estimation", | ||||
| 427 | "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", | ||||
| 428 | "name": "depth estimation", | ||||
| 429 | "state": "active", | ||||
| 430 | "vocabulary_id": null | ||||
| 431 | }, | ||||
| 432 | { | ||||
| 433 | "display_name": "general scene parsing", | ||||
| 434 | "id": "e8f845f5-3754-4eac-825e-27aaf9551e87", | ||||
| 435 | "name": "general scene parsing", | ||||
| 436 | "state": "active", | ||||
| 437 | "vocabulary_id": null | ||||
| 438 | }, | ||||
| 439 | { | ||||
| 440 | "display_name": "image classification", | ||||
| 441 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||||
| 442 | "name": "image classification", | ||||
| 443 | "state": "active", | ||||
| 444 | "vocabulary_id": null | ||||
| 445 | }, | ||||
| 446 | { | ||||
| 447 | "display_name": "image dataset", | 135 | "display_name": "image understanding", | ||
| 448 | "id": "d3acafab-ad07-46a1-88d5-540c2fd41466", | 136 | "id": "a209b790-086a-4345-b6af-b7b011b6e040", | ||
| 449 | "name": "image dataset", | ||||
| 450 | "state": "active", | ||||
| 451 | "vocabulary_id": null | ||||
| 452 | }, | ||||
| 453 | { | ||||
| 454 | "display_name": "image segmentation", | ||||
| 455 | "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", | ||||
| 456 | "name": "image segmentation", | 137 | "name": "image understanding", | ||
| 457 | "state": "active", | 138 | "state": "active", | ||
| 458 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
| 459 | }, | 140 | }, | ||
| 460 | { | 141 | { | ||
| 461 | "display_name": "instance segmentation", | 142 | "display_name": "instance segmentation", | ||
| 462 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | 143 | "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", | ||
| 463 | "name": "instance segmentation", | 144 | "name": "instance segmentation", | ||
| 464 | "state": "active", | 145 | "state": "active", | ||
| 465 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
| 466 | }, | 147 | }, | ||
| 467 | { | 148 | { | ||
| 468 | "display_name": "large-scale dataset", | 149 | "display_name": "large-scale dataset", | ||
| 469 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | 150 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||
| 470 | "name": "large-scale dataset", | 151 | "name": "large-scale dataset", | ||
| 471 | "state": "active", | 152 | "state": "active", | ||
| 472 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
| 473 | }, | 154 | }, | ||
| 474 | { | 155 | { | ||
| n | 475 | "display_name": "monocular", | n | ||
| 476 | "id": "4edc7d74-a0fd-4e7a-99cf-586781659392", | ||||
| 477 | "name": "monocular", | ||||
| 478 | "state": "active", | ||||
| 479 | "vocabulary_id": null | ||||
| 480 | }, | ||||
| 481 | { | ||||
| 482 | "display_name": "natural scene", | ||||
| 483 | "id": "814bc820-4a10-4347-a61a-39d9f590f583", | ||||
| 484 | "name": "natural scene", | ||||
| 485 | "state": "active", | ||||
| 486 | "vocabulary_id": null | ||||
| 487 | }, | ||||
| 488 | { | ||||
| 489 | "display_name": "object detection", | 156 | "display_name": "object parts", | ||
| 490 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | 157 | "id": "61c19f71-3eb5-4a82-8b0d-3134568a87fa", | ||
| 491 | "name": "object detection", | 158 | "name": "object parts", | ||
| 492 | "state": "active", | 159 | "state": "active", | ||
| 493 | "vocabulary_id": null | 160 | "vocabulary_id": null | ||
| 494 | }, | 161 | }, | ||
| 495 | { | 162 | { | ||
| 496 | "display_name": "panoptic segmentation", | 163 | "display_name": "panoptic segmentation", | ||
| 497 | "id": "fcac67e0-cdb8-4644-b28c-4d0361593beb", | 164 | "id": "fcac67e0-cdb8-4644-b28c-4d0361593beb", | ||
| 498 | "name": "panoptic segmentation", | 165 | "name": "panoptic segmentation", | ||
| 499 | "state": "active", | 166 | "state": "active", | ||
| 500 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
| 501 | }, | 168 | }, | ||
| 502 | { | 169 | { | ||
| n | 503 | "display_name": "scene parsing", | n | ||
| 504 | "id": "13b041ff-dde1-493d-9643-a1c53f9da3be", | ||||
| 505 | "name": "scene parsing", | ||||
| 506 | "state": "active", | ||||
| 507 | "vocabulary_id": null | ||||
| 508 | }, | ||||
| 509 | { | ||||
| 510 | "display_name": "scene understanding", | 170 | "display_name": "self-supervised learning", | ||
| 511 | "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", | 171 | "id": "34efc3c5-9199-4353-8b0e-a7430edfcb43", | ||
| 512 | "name": "scene understanding", | 172 | "name": "self-supervised learning", | ||
| 513 | "state": "active", | ||||
| 514 | "vocabulary_id": null | ||||
| 515 | }, | ||||
| 516 | { | ||||
| 517 | "display_name": "segmentation", | ||||
| 518 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||||
| 519 | "name": "segmentation", | ||||
| 520 | "state": "active", | ||||
| 521 | "vocabulary_id": null | ||||
| 522 | }, | ||||
| 523 | { | ||||
| 524 | "display_name": "semantic image segmentation", | ||||
| 525 | "id": "e391afda-584a-456d-9a76-ec0437768ee7", | ||||
| 526 | "name": "semantic image segmentation", | ||||
| 527 | "state": "active", | 173 | "state": "active", | ||
| 528 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
| 529 | }, | 175 | }, | ||
| 530 | { | 176 | { | ||
| 531 | "display_name": "semantic segmentation", | 177 | "display_name": "semantic segmentation", | ||
| 532 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | 178 | "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", | ||
| 533 | "name": "semantic segmentation", | 179 | "name": "semantic segmentation", | ||
| 534 | "state": "active", | 180 | "state": "active", | ||
| 535 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
| n | 536 | }, | n | ||
| 537 | { | ||||
| 538 | "display_name": "transformers", | ||||
| 539 | "id": "de8ae43b-acd0-4152-8c68-d20cb235cd5f", | ||||
| 540 | "name": "transformers", | ||||
| 541 | "state": "active", | ||||
| 542 | "vocabulary_id": null | ||||
| 543 | }, | ||||
| 544 | { | ||||
| 545 | "display_name": "urban scenes", | ||||
| 546 | "id": "e4298c72-6483-4627-8b7f-743733990c13", | ||||
| 547 | "name": "urban scenes", | ||||
| 548 | "state": "active", | ||||
| 549 | "vocabulary_id": null | ||||
| 550 | }, | ||||
| 551 | { | ||||
| 552 | "display_name": "vision transformer", | ||||
| 553 | "id": "04ac1903-800a-43f0-a457-4b35747b689a", | ||||
| 554 | "name": "vision transformer", | ||||
| 555 | "state": "active", | ||||
| 556 | "vocabulary_id": null | ||||
| 557 | } | 182 | } | ||
| 558 | ], | 183 | ], | ||
| t | 559 | "title": "ADE20K", | t | 184 | "title": "ADE20k", |
| 560 | "type": "dataset", | 185 | "type": "dataset", | ||
| 561 | "version": "" | 186 | "version": "" | ||
| 562 | } | 187 | } |