Changes

On December 3, 2024 at 9:38:58 AM UTC, admin:
Changed title to ADE20K Dataset (previously ADE20K dataset)
Set author of ADE20K Dataset to Wenwei Zhang (previously Lei Zhu)
Updated description of ADE20K Dataset from
The dataset used for testing the proposed extreme image compression framework via a multiscale autoencoder structure with embedded generative adversarial optimization.
to
The ADE20K dataset is a large-scale dataset for semantic segmentation. It contains 20,000 images with 150 semantic categories, with 20,000 images for training, 2,000 images for validation, and 2,000 images for testing.
Removed the following tags from ADE20K Dataset
Added the following tags to ADE20K Dataset
- Semantic Segmentation
- image classification
Changed value of field extra_authors to [{'extra_author': 'Jiangmiao Pang', 'orcid': ''}, {'extra_author': 'Kai Chen', 'orcid': ''}, {'extra_author': 'Chen Change Loy', 'orcid': ''}] in ADE20K Dataset
Changed value of field landing_page to https://www.ade20k.com/ in ADE20K Dataset
Changed value of field defined_in to https://doi.org/10.1080/08839514.2022.2032924 in ADE20K Dataset
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2205.09949'] in ADE20K Dataset
Deleted resource Original Metadata from ADE20K Dataset
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Lei Zhu", n 3   "author": "Wenwei Zhang",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n 6     "https://doi.org/10.48550/arXiv.2404.13567", n 
            7     "https://doi.org/10.48550/arXiv.1906.06798", 6     "https://doi.org/10.48550/arXiv.2205.09949"
            8     "https://doi.org/10.48550/arXiv.1904.13273", 
            9     "https://doi.org/10.48550/arXiv.1904.03851" 
            10   ], 7   ],
            11   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 12   "defined_in": "https://doi.org/10.48550/arXiv.2405.14880", n 9   "defined_in": "https://doi.org/10.1080/08839514.2022.2032924",
            13   "doi": "10.57702/17u8vgx8", 10   "doi": "10.57702/17u8vgx8",
            14   "doi_date_published": "2024-12-03", 11   "doi_date_published": "2024-12-03",
            15   "doi_publisher": "TIB", 12   "doi_publisher": "TIB",
            16   "doi_status": true, 13   "doi_status": true,
            17   "domain": "https://service.tib.eu/ldmservice", 14   "domain": "https://service.tib.eu/ldmservice",
            18   "extra_authors": [ 15   "extra_authors": [
            19     { 16     {
            n 20       "extra_author": "Xinjiang Wang", n 17       "extra_author": "Jiangmiao Pang",
            21       "orcid": "" 18       "orcid": ""
            22     }, 19     },
            23     { 20     {
            n 24       "extra_author": "Zhanghan Ke", n 21       "extra_author": "Kai Chen",
            25       "orcid": "" 22       "orcid": ""
            26     }, 23     },
            27     { 24     {
            n 28       "extra_author": "Wayne Zhang", n 25       "extra_author": "Chen Change Loy",
            29       "orcid": "" 
            30     }, 
            31     { 
            32       "extra_author": "Rynson WH Lau", 
            33       "orcid": "" 26       "orcid": ""
            34     } 27     }
            35   ], 28   ],
            36   "groups": [ 29   "groups": [
            37     { 30     {
            38       "description": "", 31       "description": "",
            n 39       "display_name": "Image Compression", n 32       "display_name": "Image Segmentation",
            40       "id": "094941e1-ba8a-4742-a18e-4da139345758", 33       "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04",
            41       "image_display_url": "", 34       "image_display_url": "",
            n 42       "name": "image-compression", n 
            43       "title": "Image Compression" 
            44     }, 
            45     { 
            46       "description": "", 
            47       "display_name": "Object Detection", 
            48       "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", 
            49       "image_display_url": "", 
            50       "name": "object-detection", 
            51       "title": "Object Detection" 
            52     }, 
            53     { 
            54       "description": "", 
            55       "display_name": "Scene Classification", 
            56       "id": "f0863a2c-ea68-410a-8583-f023d5fd996d", 
            57       "image_display_url": "", 
            58       "name": "scene-classification", 
            59       "title": "Scene Classification" 
            60     }, 
            61     { 
            62       "description": "", 
            63       "display_name": "Scene Understanding", 
            64       "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", 
            65       "image_display_url": "", 
            66       "name": "scene-understanding", 
            67       "title": "Scene Understanding" 
            68     }, 
            69     { 
            70       "description": "", 
            71       "display_name": "Semantic Image Segmentation", 
            72       "id": "158ad1b6-c106-4fea-9699-a66141bd23b6", 
            73       "image_display_url": "", 
            74       "name": "semantic-image-segmentation", 35       "name": "image-segmentation",
            75       "title": "Semantic Image Segmentation" 36       "title": "Image Segmentation"
            76     }, 37     },
            77     { 38     {
            78       "description": "", 39       "description": "",
            79       "display_name": "Semantic Segmentation", 40       "display_name": "Semantic Segmentation",
            80       "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", 41       "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e",
            81       "image_display_url": "", 42       "image_display_url": "",
            82       "name": "semantic-segmentation", 43       "name": "semantic-segmentation",
            83       "title": "Semantic Segmentation" 44       "title": "Semantic Segmentation"
            84     } 45     }
            85   ], 46   ],
            86   "id": "041d3b6e-c5f6-41b0-9085-e944d24318fc", 47   "id": "041d3b6e-c5f6-41b0-9085-e944d24318fc",
            87   "isopen": false, 48   "isopen": false,
            n 88   "landing_page": "https://ade20k.com/", n 49   "landing_page": "https://www.ade20k.com/",
            89   "license_title": null, 50   "license_title": null,
            90   "link_orkg": "", 51   "link_orkg": "",
            91   "metadata_created": "2024-12-03T09:19:44.937287", 52   "metadata_created": "2024-12-03T09:19:44.937287",
            n 92   "metadata_modified": "2024-12-03T09:19:45.319898", n 53   "metadata_modified": "2024-12-03T09:38:58.227027",
            93   "name": "ade20k-dataset", 54   "name": "ade20k-dataset",
            n 94   "notes": "The dataset used for testing the proposed extreme image  n 55   "notes": "The ADE20K dataset is a large-scale dataset for semantic 
            95 compression framework via a multiscale autoencoder structure with  56 segmentation. It contains 20,000 images with 150 semantic categories, 
            96 embedded generative adversarial optimization.", 57 with 20,000 images for training, 2,000 images for validation, and 
            58 2,000 images for testing.",
            97   "num_resources": 1, 59   "num_resources": 0,
            98   "num_tags": 12, 60   "num_tags": 4,
            99   "organization": { 61   "organization": {
            100     "approval_status": "approved", 62     "approval_status": "approved",
            101     "created": "2024-11-25T12:11:38.292601", 63     "created": "2024-11-25T12:11:38.292601",
            102     "description": "", 64     "description": "",
            103     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 65     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            104     "image_url": "", 66     "image_url": "",
            105     "is_organization": true, 67     "is_organization": true,
            106     "name": "no-organization", 68     "name": "no-organization",
            107     "state": "active", 69     "state": "active",
            108     "title": "No Organization", 70     "title": "No Organization",
            109     "type": "organization" 71     "type": "organization"
            110   }, 72   },
            111   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 73   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            112   "private": false, 74   "private": false,
            113   "relationships_as_object": [], 75   "relationships_as_object": [],
            114   "relationships_as_subject": [], 76   "relationships_as_subject": [],
            n 115   "resources": [ n 77   "resources": [],
            116     { 
            117       "cache_last_updated": null, 
            118       "cache_url": null, 
            119       "created": "2024-12-03T10:17:29", 
            120       "data": [ 
            121         "dcterms:title", 
            122         "dcterms:accessRights", 
            123         "dcterms:creator", 
            124         "dcterms:description", 
            125         "dcterms:issued", 
            126         "dcterms:language", 
            127         "dcterms:identifier", 
            128         "dcat:theme", 
            129         "dcterms:type", 
            130         "dcat:keyword", 
            131         "dcat:landingPage", 
            132         "dcterms:hasVersion", 
            133         "dcterms:format", 
            134         "mls:task", 
            135         "datacite:isDescribedBy" 
            136       ], 
            137       "description": "The json representation of the dataset with its  
            138 distributions based on DCAT.", 
            139       "format": "JSON", 
            140       "hash": "", 
            141       "id": "f4162067-17a7-462a-af12-4e2fd01d8dee", 
            142       "last_modified": "2024-12-03T09:19:45.310917", 
            143       "metadata_modified": "2024-12-03T09:19:45.322924", 
            144       "mimetype": "application/json", 
            145       "mimetype_inner": null, 
            146       "name": "Original Metadata", 
            147       "package_id": "041d3b6e-c5f6-41b0-9085-e944d24318fc", 
            148       "position": 0, 
            149       "resource_type": null, 
            150       "size": 1339, 
            151       "state": "active", 
            152       "url":  
            153 resource/f4162067-17a7-462a-af12-4e2fd01d8dee/download/metadata.json", 
            154       "url_type": "upload" 
            155     } 
            156   ], 
            157   "services_used_list": "", 78   "services_used_list": "",
            158   "state": "active", 79   "state": "active",
            159   "tags": [ 80   "tags": [
            160     { 81     {
            161       "display_name": "ADE20K", 82       "display_name": "ADE20K",
            162       "id": "0c499fde-6255-4c36-bce6-9183a1c622bf", 83       "id": "0c499fde-6255-4c36-bce6-9183a1c622bf",
            163       "name": "ADE20K", 84       "name": "ADE20K",
            164       "state": "active", 85       "state": "active",
            165       "vocabulary_id": null 86       "vocabulary_id": null
            166     }, 87     },
            167     { 88     {
            n 168       "display_name": "Deep learning", n 89       "display_name": "Semantic Segmentation",
            169       "id": "a8638dc7-b339-4a0b-8daa-ef73a49e2688", 90       "id": "809ad6af-28cd-43bd-974d-055a5c0f2973",
            170       "name": "Deep learning", 91       "name": "Semantic Segmentation",
            171       "state": "active", 92       "state": "active",
            172       "vocabulary_id": null 93       "vocabulary_id": null
            173     }, 94     },
            174     { 95     {
            n 175       "display_name": "Image Compression", n 
            176       "id": "9319a62c-672c-4d44-a6ef-7d18ec5ba2b7", 
            177       "name": "Image Compression", 
            178       "state": "active", 
            179       "vocabulary_id": null 
            180     }, 
            181     { 
            182       "display_name": "Image dataset", 
            183       "id": "9616fb61-f2f2-4ac6-b2a9-91fcbed826e0", 
            184       "name": "Image dataset", 
            185       "state": "active", 
            186       "vocabulary_id": null 
            187     }, 
            188     { 
            189       "display_name": "Object Detection", 
            190       "id": "44adc011-570b-46cf-9a65-ab72ca690477", 
            191       "name": "Object Detection", 
            192       "state": "active", 
            193       "vocabulary_id": null 
            194     }, 
            195     { 
            196       "display_name": "Scene classification", 96       "display_name": "image classification",
            197       "id": "326168f2-26e3-4b42-afd4-ac37eba96ab4", 97       "id": "34936550-ce1a-41b5-8c58-23081a6c673d",
            198       "name": "Scene classification", 98       "name": "image classification",
            199       "state": "active", 
            200       "vocabulary_id": null 
            201     }, 
            202     { 
            203       "display_name": "object detection", 
            204       "id": "607283c7-9e12-4167-9101-7f8078fb6537", 
            205       "name": "object detection", 
            206       "state": "active", 
            207       "vocabulary_id": null 
            208     }, 
            209     { 
            210       "display_name": "scene understanding", 
            211       "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa", 
            212       "name": "scene understanding", 
            213       "state": "active", 
            214       "vocabulary_id": null 
            215     }, 
            216     { 
            217       "display_name": "semantic image segmentation", 
            218       "id": "e391afda-584a-456d-9a76-ec0437768ee7", 
            219       "name": "semantic image segmentation", 
            220       "state": "active", 99       "state": "active",
            221       "vocabulary_id": null 100       "vocabulary_id": null
            222     }, 101     },
            223     { 102     {
            224       "display_name": "semantic segmentation", 103       "display_name": "semantic segmentation",
            225       "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", 104       "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af",
            226       "name": "semantic segmentation", 105       "name": "semantic segmentation",
            227       "state": "active", 106       "state": "active",
            228       "vocabulary_id": null 107       "vocabulary_id": null
            n 229     }, n 
            230     { 
            231       "display_name": "token attention", 
            232       "id": "58a38fb4-5f5a-4fd8-bd03-c7fd0321df7a", 
            233       "name": "token attention", 
            234       "state": "active", 
            235       "vocabulary_id": null 
            236     }, 
            237     { 
            238       "display_name": "vision transformers", 
            239       "id": "1a13bbae-9c12-412d-9317-31e76c1a2470", 
            240       "name": "vision transformers", 
            241       "state": "active", 
            242       "vocabulary_id": null 
            243     } 108     }
            244   ], 109   ],
            t 245   "title": "ADE20K dataset", t 110   "title": "ADE20K Dataset",
            246   "type": "dataset", 111   "type": "dataset",
            247   "version": "" 112   "version": ""
            248 } 113 }