Changes

On December 3, 2024 at 9:38:49 AM UTC, admin:
Changed title to NYUv2 dataset (previously NYUv2 Dataset)
Set author of NYUv2 dataset to Xinni Jiang (previously Xuehao Wang)
Updated description of NYUv2 dataset from
The NYUv2 dataset consists of video sequences of various indoor scenes recorded by RGB and Depth cameras in Microsoft Kinect. It contains 1,449 images with ground truth, where 795 images are for training and 654 images are for validation.
to
The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes.
Removed the following tags from NYUv2 dataset
Added the following tags to NYUv2 dataset
Changed value of field defined_in to https://doi.org/10.48550/arXiv.1905.07005 in NYUv2 dataset
Changed value of field extra_authors to [{'extra_author': 'Zengsheng Kuang', 'orcid': ''}, {'extra_author': 'Chunle Guo', 'orcid': ''}, {'extra_author': 'Ruixun Zhang', 'orcid': ''}, {'extra_author': 'Lei Cai', 'orcid': ''}, {'extra_author': 'Xiao Fan', 'orcid': ''}, {'extra_author': 'Chongyi Li', 'orcid': ''}] in NYUv2 dataset
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2401.08123', 'https://doi.org/10.48550/arXiv.1803.02784', 'https://doi.org/10.1109/LRA.2024.3416788', 'https://doi.org/10.48550/arXiv.2203.09168'] in NYUv2 dataset
Changed value of field landing_page to https://www.cs.nyu.edu/~silberman/datasets.html in NYUv2 dataset
Deleted resource Original Metadata from NYUv2 dataset
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Xuehao Wang", n 3   "author": "Xinni Jiang",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n n 6     "https://doi.org/10.48550/arXiv.2401.08123",
            7     "https://doi.org/10.48550/arXiv.1803.02784",
            8     "https://doi.org/10.1109/LRA.2024.3416788",
            6     "https://doi.org/10.48550/arXiv.2403.10971" 9     "https://doi.org/10.48550/arXiv.2203.09168"
            7   ], 10   ],
            8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 11   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 9   "defined_in": "https://doi.org/10.1007/978-3-030-01225-0_11", n 12   "defined_in": "https://doi.org/10.48550/arXiv.1905.07005",
            10   "doi": "10.57702/2lkei111", 13   "doi": "10.57702/2lkei111",
            11   "doi_date_published": "2024-12-02", 14   "doi_date_published": "2024-12-02",
            12   "doi_publisher": "TIB", 15   "doi_publisher": "TIB",
            13   "doi_status": true, 16   "doi_status": true,
            14   "domain": "https://service.tib.eu/ldmservice", 17   "domain": "https://service.tib.eu/ldmservice",
            15   "extra_authors": [ 18   "extra_authors": [
            16     { 19     {
            n 17       "extra_author": "Feiyang Ye", n 20       "extra_author": "Zengsheng Kuang",
            18       "orcid": "" 21       "orcid": ""
            19     }, 22     },
            20     { 23     {
            n n 24       "extra_author": "Chunle Guo",
            25       "orcid": ""
            26     },
            27     {
            21       "extra_author": "Yu Zhang", 28       "extra_author": "Ruixun Zhang",
            29       "orcid": ""
            30     },
            31     {
            32       "extra_author": "Lei Cai",
            33       "orcid": ""
            34     },
            35     {
            36       "extra_author": "Xiao Fan",
            37       "orcid": ""
            38     },
            39     {
            40       "extra_author": "Chongyi Li",
            22       "orcid": "" 41       "orcid": ""
            23     } 42     }
            24   ], 43   ],
            25   "groups": [ 44   "groups": [
            n n 45     {
            46       "description": "",
            47       "display_name": "3D Object Recognition",
            48       "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1",
            49       "image_display_url": "",
            50       "name": "3d-object-recognition",
            51       "title": "3D Object Recognition"
            52     },
            53     {
            54       "description": "",
            55       "display_name": "Computer Vision",
            56       "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25",
            57       "image_display_url": "",
            58       "name": "computer-vision",
            59       "title": "Computer Vision"
            60     },
            26     { 61     {
            27       "description": "", 62       "description": "",
            28       "display_name": "Depth Estimation", 63       "display_name": "Depth Estimation",
            29       "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218", 64       "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218",
            30       "image_display_url": "", 65       "image_display_url": "",
            31       "name": "depth-estimation", 66       "name": "depth-estimation",
            32       "title": "Depth Estimation" 67       "title": "Depth Estimation"
            33     }, 68     },
            34     { 69     {
            35       "description": "", 70       "description": "",
            n n 71       "display_name": "Depth Super-Resolution",
            72       "id": "3057a183-0c40-46a3-a1e9-bb6ceab6e21c",
            73       "image_display_url": "",
            74       "name": "depth-super-resolution",
            75       "title": "Depth Super-Resolution"
            76     },
            77     {
            78       "description": "",
            36       "display_name": "Image Segmentation", 79       "display_name": "Semantic Segmentation",
            37       "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", 80       "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e",
            38       "image_display_url": "", 81       "image_display_url": "",
            n 39       "name": "image-segmentation", n 82       "name": "semantic-segmentation",
            40       "title": "Image Segmentation" 83       "title": "Semantic Segmentation"
            41     }, 84     },
            42     { 85     {
            43       "description": "", 86       "description": "",
            n 44       "display_name": "Indoor Scene Understanding", n 87       "display_name": "Visual Odometry",
            45       "id": "6f671b4b-0b4d-4fe1-9769-e31ab164e205", 88       "id": "27ff25a9-e176-4b6d-8035-cc6c964cd212",
            46       "image_display_url": "", 89       "image_display_url": "",
            n 47       "name": "indoor-scene-understanding", n 90       "name": "visual-odometry",
            48       "title": "Indoor Scene Understanding" 91       "title": "Visual Odometry"
            49     } 92     }
            50   ], 93   ],
            51   "id": "81ad4f95-0d38-4f88-8f1f-0fa9a6976264", 94   "id": "81ad4f95-0d38-4f88-8f1f-0fa9a6976264",
            52   "isopen": false, 95   "isopen": false,
            n 53   "landing_page": "https://www.cs.cmu.edu/~ronny/nyu-depth-v2/", n 96   "landing_page": "https://www.cs.nyu.edu/~silberman/datasets.html",
            54   "license_title": null, 97   "license_title": null,
            55   "link_orkg": "", 98   "link_orkg": "",
            56   "metadata_created": "2024-12-02T22:47:42.528951", 99   "metadata_created": "2024-12-02T22:47:42.528951",
            n 57   "metadata_modified": "2024-12-02T22:47:43.129229", n 100   "metadata_modified": "2024-12-03T09:38:48.410739",
            58   "name": "nyuv2-dataset", 101   "name": "nyuv2-dataset",
            n 59   "notes": "The NYUv2 dataset consists of video sequences of various  n 102   "notes": "The NYUv2 dataset is a large-scale dataset for 3D object 
            60 indoor scenes recorded by RGB and Depth cameras in Microsoft Kinect.  103 recognition and semantic segmentation. It contains 206 test set video 
            61 It contains 1,449 images with ground truth, where 795 images are for  104 sequences with 135 classes.",
            62 training and 654 images are for validation.", 
            63   "num_resources": 1, 105   "num_resources": 0,
            64   "num_tags": 8, 106   "num_tags": 13,
            65   "organization": { 107   "organization": {
            66     "approval_status": "approved", 108     "approval_status": "approved",
            67     "created": "2024-11-25T12:11:38.292601", 109     "created": "2024-11-25T12:11:38.292601",
            68     "description": "", 110     "description": "",
            69     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 111     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            70     "image_url": "", 112     "image_url": "",
            71     "is_organization": true, 113     "is_organization": true,
            72     "name": "no-organization", 114     "name": "no-organization",
            73     "state": "active", 115     "state": "active",
            74     "title": "No Organization", 116     "title": "No Organization",
            75     "type": "organization" 117     "type": "organization"
            76   }, 118   },
            77   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 119   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            78   "private": false, 120   "private": false,
            79   "relationships_as_object": [], 121   "relationships_as_object": [],
            80   "relationships_as_subject": [], 122   "relationships_as_subject": [],
            n 81   "resources": [ n 123   "resources": [],
            82     { 
            83       "cache_last_updated": null, 
            84       "cache_url": null, 
            85       "created": "2024-12-02T22:29:38", 
            86       "data": [ 
            87         "dcterms:title", 
            88         "dcterms:accessRights", 
            89         "dcterms:creator", 
            90         "dcterms:description", 
            91         "dcterms:issued", 
            92         "dcterms:language", 
            93         "dcterms:identifier", 
            94         "dcat:theme", 
            95         "dcterms:type", 
            96         "dcat:keyword", 
            97         "dcat:landingPage", 
            98         "dcterms:hasVersion", 
            99         "dcterms:format", 
            100         "mls:task", 
            101         "datacite:isDescribedBy" 
            102       ], 
            103       "description": "The json representation of the dataset with its  
            104 distributions based on DCAT.", 
            105       "format": "JSON", 
            106       "hash": "", 
            107       "id": "bf9a6d90-e84d-42c9-a0d5-2cb3a76069d2", 
            108       "last_modified": "2024-12-02T22:47:43.121532", 
            109       "metadata_modified": "2024-12-02T22:47:43.131977", 
            110       "mimetype": "application/json", 
            111       "mimetype_inner": null, 
            112       "name": "Original Metadata", 
            113       "package_id": "81ad4f95-0d38-4f88-8f1f-0fa9a6976264", 
            114       "position": 0, 
            115       "resource_type": null, 
            116       "size": 1090, 
            117       "state": "active", 
            118       "url":  
            119 resource/bf9a6d90-e84d-42c9-a0d5-2cb3a76069d2/download/metadata.json", 
            120       "url_type": "upload" 
            121     } 
            122   ], 
            123   "services_used_list": "", 124   "services_used_list": "",
            124   "state": "active", 125   "state": "active",
            125   "tags": [ 126   "tags": [
            126     { 127     {
            n n 128       "display_name": "3D object recognition",
            129       "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1",
            130       "name": "3D object recognition",
            131       "state": "active",
            132       "vocabulary_id": null
            133     },
            134     {
            135       "display_name": "Coded Visual Odometry",
            136       "id": "fde6b232-a3ca-4e60-8ea5-cba7dabe29e5",
            137       "name": "Coded Visual Odometry",
            138       "state": "active",
            139       "vocabulary_id": null
            140     },
            141     {
            127       "display_name": "Depth Estimation", 142       "display_name": "Depth Estimation",
            128       "id": "559df65c-baac-4373-9e7e-6732051e61ec", 143       "id": "559df65c-baac-4373-9e7e-6732051e61ec",
            129       "name": "Depth Estimation", 144       "name": "Depth Estimation",
            130       "state": "active", 145       "state": "active",
            131       "vocabulary_id": null 146       "vocabulary_id": null
            132     }, 147     },
            133     { 148     {
            n 134       "display_name": "Depth Map", n 
            135       "id": "6e4c85d9-46cd-4c68-96ef-5a2c1e9502b8", 
            136       "name": "Depth Map", 
            137       "state": "active", 
            138       "vocabulary_id": null 
            139     }, 
            140     { 
            141       "display_name": "Indoor Scene Understanding", 
            142       "id": "a8ea8f4b-57e4-4976-8014-1efd58e75334", 
            143       "name": "Indoor Scene Understanding", 
            144       "state": "active", 
            145       "vocabulary_id": null 
            146     }, 
            147     { 
            148       "display_name": "NYUv2", 149       "display_name": "NYUv2",
            149       "id": "f38a103e-ef81-4fc7-a558-3de4df053d06", 150       "id": "f38a103e-ef81-4fc7-a558-3de4df053d06",
            150       "name": "NYUv2", 151       "name": "NYUv2",
            151       "state": "active", 152       "state": "active",
            152       "vocabulary_id": null 153       "vocabulary_id": null
            153     }, 154     },
            154     { 155     {
            n 155       "display_name": "RGB", n 156       "display_name": "RGB image",
            156       "id": "ddaf0f57-853b-479c-92e3-64fd48ad8b68", 157       "id": "e9b1c684-69af-491f-b582-0898d325720b",
            157       "name": "RGB", 158       "name": "RGB image",
            158       "state": "active", 159       "state": "active",
            159       "vocabulary_id": null 160       "vocabulary_id": null
            160     }, 161     },
            161     { 162     {
            n 162       "display_name": "RGB-D", n 163       "display_name": "Visual Odometry",
            163       "id": "b4388a5d-d31a-45b3-bd20-55ea8c48a7be", 164       "id": "ce8d51cd-12ca-4bca-b2bc-7d8cab580b7a",
            164       "name": "RGB-D", 165       "name": "Visual Odometry",
            165       "state": "active", 166       "state": "active",
            166       "vocabulary_id": null 167       "vocabulary_id": null
            167     }, 168     },
            168     { 169     {
            169       "display_name": "depth estimation", 170       "display_name": "depth estimation",
            170       "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18", 171       "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18",
            171       "name": "depth estimation", 172       "name": "depth estimation",
            172       "state": "active", 173       "state": "active",
            173       "vocabulary_id": null 174       "vocabulary_id": null
            174     }, 175     },
            175     { 176     {
            n n 177       "display_name": "depth map",
            178       "id": "47c36730-c402-451a-bec4-d1194996c398",
            179       "name": "depth map",
            180       "state": "active",
            181       "vocabulary_id": null
            182     },
            183     {
            184       "display_name": "depth regression",
            185       "id": "fda0dcda-73b8-42af-a937-76169d52cecc",
            186       "name": "depth regression",
            187       "state": "active",
            188       "vocabulary_id": null
            189     },
            190     {
            191       "display_name": "depth super-resolution",
            192       "id": "1315140d-d7b1-47b3-8df9-0dc5f1ca2f64",
            193       "name": "depth super-resolution",
            194       "state": "active",
            195       "vocabulary_id": null
            196     },
            197     {
            198       "display_name": "monocular depth estimation",
            199       "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd",
            200       "name": "monocular depth estimation",
            201       "state": "active",
            202       "vocabulary_id": null
            203     },
            204     {
            176       "display_name": "image segmentation", 205       "display_name": "semantic segmentation",
            177       "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", 206       "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af",
            178       "name": "image segmentation", 207       "name": "semantic segmentation",
            208       "state": "active",
            209       "vocabulary_id": null
            210     },
            211     {
            212       "display_name": "single image",
            213       "id": "a388f511-56bd-4b53-b3fb-011c750e5a38",
            214       "name": "single image",
            179       "state": "active", 215       "state": "active",
            180       "vocabulary_id": null 216       "vocabulary_id": null
            181     } 217     }
            182   ], 218   ],
            t 183   "title": "NYUv2 Dataset", t 219   "title": "NYUv2 dataset",
            184   "type": "dataset", 220   "type": "dataset",
            185   "version": "" 221   "version": ""
            186 } 222 }