Changes

On December 2, 2024 at 5:50:23 PM UTC, admin:
Updated description of ScanNet from
ScanNet is a richly annotated dataset for 3D reconstruction of indoor scenes, containing RGB images, groundtruth depths, camera poses, surface reconstructions, and instance-level semantic segmentations.
to
The ScanNet dataset contains 1.2K training samples and 312 validation samples annotated with per-point instances, semantic labels, and axis-aligned 3D bounding boxes belonging to 18 categories.
Added the following tags to ScanNet
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2405.12979 in ScanNet
Changed value of field extra_authors to [{'extra_author': 'Angel X. Chang', 'orcid': ''}, {'extra_author': 'Manolis Savva', 'orcid': ''}, {'extra_author': 'Maciej Halber', 'orcid': ''}, {'extra_author': 'Thomas Funkhouser', 'orcid': ''}, {'extra_author': 'Matthias Nießner', 'orcid': ''}] in ScanNet
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2206.07710', 'https://doi.org/10.48550/arXiv.2004.04993', 'https://doi.org/10.48550/arXiv.2305.13307', 'https://doi.org/10.48550/arXiv.2310.01401', 'https://doi.org/10.48550/arXiv.2308.07868', 'https://doi.org/10.48550/arXiv.2306.05242', 'https://doi.org/10.48550/arXiv.2407.10084', 'https://doi.org/10.48550/arXiv.2312.03032', 'https://doi.org/10.48550/arXiv.1908.06295', 'https://doi.org/10.48550/arXiv.2404.06753', 'https://doi.org/10.48550/arXiv.2203.01509', 'https://doi.org/10.48550/arXiv.1901.09458', 'https://doi.org/10.48550/arXiv.2105.06461', 'https://doi.org/10.48550/arXiv.2405.17958', 'https://doi.org/10.1145/3592131', 'https://doi.org/10.48550/arXiv.2407.13642', 'https://doi.org/10.48550/arXiv.1909.09287', 'https://doi.org/10.48550/arXiv.2312.10390', 'https://doi.org/10.48550/arXiv.2208.04309', 'https://doi.org/10.48550/arXiv.2306.01923', 'https://doi.org/10.48550/arXiv.2303.16646', 'https://doi.org/10.48550/arXiv.2405.17176', 'https://doi.org/10.48550/arXiv.2405.03221', 'https://doi.org/10.48550/arXiv.2305.19201', 'https://doi.org/10.48550/arXiv.2208.02879', 'https://doi.org/10.48550/arXiv.2312.03026', 'https://doi.org/10.48550/arXiv.2402.14464', 'https://doi.org/10.48550/arXiv.1806.09573', 'https://doi.org/10.48550/arXiv.2212.14197', 'https://doi.org/10.48550/arXiv.1811.07246', 'https://doi.org/10.48550/arXiv.2310.03420', 'https://doi.org/10.48550/arXiv.2102.07373', 'https://doi.org/10.48550/arXiv.2203.13318', 'https://doi.org/10.48550/arXiv.2210.15107', 'https://doi.org/10.48550/arXiv.2203.15245', 'https://doi.org/10.48550/arXiv.2103.10339', 'https://doi.org/10.48550/arXiv.2306.11051', 'https://doi.org/10.48550/arXiv.2303.03361', 'https://doi.org/10.48550/arXiv.1912.00145', 'https://doi.org/10.48550/arXiv.2304.10179', 'https://doi.org/10.48550/arXiv.2309.15702', 'https://doi.org/10.1109/ICCVW.2019.00264', 'https://doi.org/10.48550/arXiv.2403.07563', 'https://doi.org/10.48550/arXiv.2311.12291', 'https://doi.org/10.48550/arXiv.1906.08650'] in ScanNet
Changed value of field landing_page to https://www.scannet.org/ in ScanNet
Deleted resource Original Metadata from ScanNet
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            3   "author": "Angela Dai", 3   "author": "Angela Dai",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [], n 5   "citation": [
            6     "https://doi.org/10.48550/arXiv.2206.07710",
            7     "https://doi.org/10.48550/arXiv.2004.04993",
            8     "https://doi.org/10.48550/arXiv.2305.13307",
            9     "https://doi.org/10.48550/arXiv.2310.01401",
            10     "https://doi.org/10.48550/arXiv.2308.07868",
            11     "https://doi.org/10.48550/arXiv.2306.05242",
            12     "https://doi.org/10.48550/arXiv.2407.10084",
            13     "https://doi.org/10.48550/arXiv.2312.03032",
            14     "https://doi.org/10.48550/arXiv.1908.06295",
            15     "https://doi.org/10.48550/arXiv.2404.06753",
            16     "https://doi.org/10.48550/arXiv.2203.01509",
            17     "https://doi.org/10.48550/arXiv.1901.09458",
            18     "https://doi.org/10.48550/arXiv.2105.06461",
            19     "https://doi.org/10.48550/arXiv.2405.17958",
            20     "https://doi.org/10.1145/3592131",
            21     "https://doi.org/10.48550/arXiv.2407.13642",
            22     "https://doi.org/10.48550/arXiv.1909.09287",
            23     "https://doi.org/10.48550/arXiv.2312.10390",
            24     "https://doi.org/10.48550/arXiv.2208.04309",
            25     "https://doi.org/10.48550/arXiv.2306.01923",
            26     "https://doi.org/10.48550/arXiv.2303.16646",
            27     "https://doi.org/10.48550/arXiv.2405.17176",
            28     "https://doi.org/10.48550/arXiv.2405.03221",
            29     "https://doi.org/10.48550/arXiv.2305.19201",
            30     "https://doi.org/10.48550/arXiv.2208.02879",
            31     "https://doi.org/10.48550/arXiv.2312.03026",
            32     "https://doi.org/10.48550/arXiv.2402.14464",
            33     "https://doi.org/10.48550/arXiv.1806.09573",
            34     "https://doi.org/10.48550/arXiv.2212.14197",
            35     "https://doi.org/10.48550/arXiv.1811.07246",
            36     "https://doi.org/10.48550/arXiv.2310.03420",
            37     "https://doi.org/10.48550/arXiv.2102.07373",
            38     "https://doi.org/10.48550/arXiv.2203.13318",
            39     "https://doi.org/10.48550/arXiv.2210.15107",
            40     "https://doi.org/10.48550/arXiv.2203.15245",
            41     "https://doi.org/10.48550/arXiv.2103.10339",
            42     "https://doi.org/10.48550/arXiv.2306.11051",
            43     "https://doi.org/10.48550/arXiv.2303.03361",
            44     "https://doi.org/10.48550/arXiv.1912.00145",
            45     "https://doi.org/10.48550/arXiv.2304.10179",
            46     "https://doi.org/10.48550/arXiv.2309.15702",
            47     "https://doi.org/10.1109/ICCVW.2019.00264",
            48     "https://doi.org/10.48550/arXiv.2403.07563",
            49     "https://doi.org/10.48550/arXiv.2311.12291",
            50     "https://doi.org/10.48550/arXiv.1906.08650"
            51   ],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 52   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "", n 53   "defined_in": "https://doi.org/10.48550/arXiv.2405.12979",
            8   "doi": "10.57702/yv5yc1z0", 54   "doi": "10.57702/yv5yc1z0",
            9   "doi_date_published": "2024-11-25", 55   "doi_date_published": "2024-11-25",
            10   "doi_publisher": "TIB", 56   "doi_publisher": "TIB",
            11   "doi_status": true, 57   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 58   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 59   "extra_authors": [
            14     { 60     {
            n 15       "extra_author": "Angel X Chang", n 61       "extra_author": "Angel X. Chang",
            16       "orcid": "" 62       "orcid": ""
            17     }, 63     },
            18     { 64     {
            19       "extra_author": "Manolis Savva", 65       "extra_author": "Manolis Savva",
            20       "orcid": "" 66       "orcid": ""
            21     }, 67     },
            22     { 68     {
            23       "extra_author": "Maciej Halber", 69       "extra_author": "Maciej Halber",
            24       "orcid": "" 70       "orcid": ""
            25     }, 71     },
            26     { 72     {
            27       "extra_author": "Thomas Funkhouser", 73       "extra_author": "Thomas Funkhouser",
            28       "orcid": "" 74       "orcid": ""
            29     }, 75     },
            30     { 76     {
            31       "extra_author": "Matthias Nie\u00dfner", 77       "extra_author": "Matthias Nie\u00dfner",
            32       "orcid": "" 78       "orcid": ""
            33     } 79     }
            34   ], 80   ],
            n 35   "groups": [], n 81   "groups": [
            82     {
            83       "description": "",
            84       "display_name": "3D Data",
            85       "id": "75c2b2af-ff6b-4c10-9678-a19d3b6941ee",
            86       "image_display_url": "",
            87       "name": "3d-data",
            88       "title": "3D Data"
            89     },
            90     {
            91       "description": "",
            92       "display_name": "3D Indoor Scene Understanding",
            93       "id": "1277aa66-82c9-4b25-afef-a65971caacd0",
            94       "image_display_url": "",
            95       "name": "3d-indoor-scene-understanding",
            96       "title": "3D Indoor Scene Understanding"
            97     },
            98     {
            99       "description": "",
            100       "display_name": "3D Indoor Scenes",
            101       "id": "d412ff56-9507-4707-980b-d70904021eea",
            102       "image_display_url": "",
            103       "name": "3d-indoor-scenes",
            104       "title": "3D Indoor Scenes"
            105     },
            106     {
            107       "description": "",
            108       "display_name": "3D Instance Segmentation",
            109       "id": "df7e5dbf-bb57-4ebd-a62f-f2a1b16d3ed3",
            110       "image_display_url": "",
            111       "name": "3d-instance-segmentation",
            112       "title": "3D Instance Segmentation"
            113     },
            114     {
            115       "description": "",
            116       "display_name": "3D Object Detection",
            117       "id": "b9c5385e-2cc8-4698-95f2-a1528ebb0182",
            118       "image_display_url": "",
            119       "name": "3d-object-detection",
            120       "title": "3D Object Detection"
            121     },
            122     {
            123       "description": "",
            124       "display_name": "3D Object Recognition",
            125       "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1",
            126       "image_display_url": "",
            127       "name": "3d-object-recognition",
            128       "title": "3D Object Recognition"
            129     },
            130     {
            131       "description": "",
            132       "display_name": "3D Object Reconstruction",
            133       "id": "1501f86f-3b7f-42bd-a0f3-f53ac1414787",
            134       "image_display_url": "",
            135       "name": "3d-object-reconstruction",
            136       "title": "3D Object Reconstruction"
            137     },
            138     {
            139       "description": "",
            140       "display_name": "3D Point Clouds",
            141       "id": "625c463b-8cb0-4180-af63-ed8448fb60dd",
            142       "image_display_url": "",
            143       "name": "3d-point-clouds",
            144       "title": "3D Point Clouds"
            145     },
            146     {
            147       "description": "",
            148       "display_name": "3D Reconstruction",
            149       "id": "4f8c7487-ad74-48b5-af62-efc1369527f9",
            150       "image_display_url": "",
            151       "name": "3d-reconstruction",
            152       "title": "3D Reconstruction"
            153     },
            154     {
            155       "description": "",
            156       "display_name": "3D Scene Reconstruction",
            157       "id": "b4a67da3-165a-4e82-a50e-49bccd9d92f9",
            158       "image_display_url": "",
            159       "name": "3d-scene-reconstruction",
            160       "title": "3D Scene Reconstruction"
            161     },
            162     {
            163       "description": "",
            164       "display_name": "3D Scene Understanding",
            165       "id": "bbef9259-bb19-4e31-8610-6745016a53bc",
            166       "image_display_url": "",
            167       "name": "3d-scene-understanding",
            168       "title": "3D Scene Understanding"
            169     },
            170     {
            171       "description": "",
            172       "display_name": "3D Scenes",
            173       "id": "2ffc9813-4a9c-4253-8e68-07ea417c2314",
            174       "image_display_url": "",
            175       "name": "3d-scenes",
            176       "title": "3D Scenes"
            177     },
            178     {
            179       "description": "",
            180       "display_name": "3D Semantic Segmentation",
            181       "id": "4b4f04aa-d4f5-497c-87dc-f8c937d3e844",
            182       "image_display_url": "",
            183       "name": "3d-semantic-segmentation",
            184       "title": "3D Semantic Segmentation"
            185     },
            186     {
            187       "description": "",
            188       "display_name": "3D Semantic Understanding",
            189       "id": "f9240e94-b5df-4ebd-b416-177741f8d89f",
            190       "image_display_url": "",
            191       "name": "3d-semantic-understanding",
            192       "title": "3D Semantic Understanding"
            193     },
            194     {
            195       "description": "",
            196       "display_name": "Classification",
            197       "id": "57bb78f3-a48d-4716-a9cc-0028df74b1c5",
            198       "image_display_url": "",
            199       "name": "classification",
            200       "title": "Classification"
            201     },
            202     {
            203       "description": "",
            204       "display_name": "Computer Vision",
            205       "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25",
            206       "image_display_url": "",
            207       "name": "computer-vision",
            208       "title": "Computer Vision"
            209     },
            210     {
            211       "description": "",
            212       "display_name": "Depth Estimation",
            213       "id": "1cfc3f7a-9b2f-4ee9-9d15-9883618b3218",
            214       "image_display_url": "",
            215       "name": "depth-estimation",
            216       "title": "Depth Estimation"
            217     },
            218     {
            219       "description": "",
            220       "display_name": "Indoor Scene Recognition",
            221       "id": "d8b3b22e-519e-44c7-95d4-e5cc5bdd7dc3",
            222       "image_display_url": "",
            223       "name": "indoor-scene-recognition",
            224       "title": "Indoor Scene Recognition"
            225     },
            226     {
            227       "description": "",
            228       "display_name": "Indoor Scene Reconstruction",
            229       "id": "91936444-bc66-44e6-9a35-790c6130c384",
            230       "image_display_url": "",
            231       "name": "indoor-scene-reconstruction",
            232       "title": "Indoor Scene Reconstruction"
            233     },
            234     {
            235       "description": "",
            236       "display_name": "Indoor Scene Understanding",
            237       "id": "6f671b4b-0b4d-4fe1-9769-e31ab164e205",
            238       "image_display_url": "",
            239       "name": "indoor-scene-understanding",
            240       "title": "Indoor Scene Understanding"
            241     },
            242     {
            243       "description": "",
            244       "display_name": "Indoor Scenes",
            245       "id": "1cdde29d-6358-4f23-823c-0e7caad9ae2e",
            246       "image_display_url": "",
            247       "name": "indoor-scenes",
            248       "title": "Indoor Scenes"
            249     },
            250     {
            251       "description": "",
            252       "display_name": "Monocular Sequences",
            253       "id": "0ec523a9-3a74-41ce-9cb0-8f35ab9f780d",
            254       "image_display_url": "",
            255       "name": "monocular-sequences",
            256       "title": "Monocular Sequences"
            257     },
            258     {
            259       "description": "",
            260       "display_name": "Monocular Vision",
            261       "id": "9cf940eb-e2c0-4ddd-a103-3e91c84be459",
            262       "image_display_url": "",
            263       "name": "monocular-vision",
            264       "title": "Monocular Vision"
            265     },
            266     {
            267       "description": "",
            268       "display_name": "Object Detection",
            269       "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20",
            270       "image_display_url": "",
            271       "name": "object-detection",
            272       "title": "Object Detection"
            273     },
            274     {
            275       "description": "",
            276       "display_name": "Object Manipulation",
            277       "id": "e8df4193-2441-4a78-9510-6040d9962e08",
            278       "image_display_url": "",
            279       "name": "object-manipulation",
            280       "title": "Object Manipulation"
            281     },
            282     {
            283       "description": "",
            284       "display_name": "Object Recognition",
            285       "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc",
            286       "image_display_url": "",
            287       "name": "object-recognition",
            288       "title": "Object Recognition"
            289     },
            290     {
            291       "description": "",
            292       "display_name": "RGB-D Videos",
            293       "id": "847ae5dc-0c8c-4d84-9632-22cc7ba0920c",
            294       "image_display_url": "",
            295       "name": "rgb-d-videos",
            296       "title": "RGB-D Videos"
            297     },
            298     {
            299       "description": "",
            300       "display_name": "Scene Analysis",
            301       "id": "09b016b4-749a-4dc8-9af5-ef7f0035a0ef",
            302       "image_display_url": "",
            303       "name": "scene-analysis",
            304       "title": "Scene Analysis"
            305     },
            306     {
            307       "description": "",
            308       "display_name": "Scene Segmentation",
            309       "id": "69266901-10c5-4367-b59e-e438f0dd6e34",
            310       "image_display_url": "",
            311       "name": "scene-segmentation",
            312       "title": "Scene Segmentation"
            313     },
            314     {
            315       "description": "",
            316       "display_name": "Scene Understanding",
            317       "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a",
            318       "image_display_url": "",
            319       "name": "scene-understanding",
            320       "title": "Scene Understanding"
            321     },
            322     {
            323       "description": "",
            324       "display_name": "Semantic Segmentation",
            325       "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e",
            326       "image_display_url": "",
            327       "name": "semantic-segmentation",
            328       "title": "Semantic Segmentation"
            329     }
            330   ],
            36   "id": "239f4ce8-1dc9-4466-9fb6-fbb172bfb839", 331   "id": "239f4ce8-1dc9-4466-9fb6-fbb172bfb839",
            37   "isopen": false, 332   "isopen": false,
            n 38   "landing_page": "http://www.scan-net.org/", n 333   "landing_page": "https://www.scannet.org/",
            39   "license_title": null, 334   "license_title": null,
            40   "link_orkg": "", 335   "link_orkg": "",
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            n 42   "metadata_modified": "2024-11-25T15:03:48.763173", n 337   "metadata_modified": "2024-12-02T17:50:22.489258",
            43   "name": "scannet", 338   "name": "scannet",
            n 44   "notes": "ScanNet is a richly annotated dataset for 3D  n 339   "notes": "The ScanNet dataset contains 1.2K training samples and 312 
            45 reconstruction of indoor scenes, containing RGB images, groundtruth  340 validation samples annotated with per-point instances, semantic 
            46 depths, camera poses, surface reconstructions, and instance-level  341 labels, and axis-aligned 3D bounding boxes belonging to 18 
            47 semantic segmentations.", 342 categories.",
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            51     "approval_status": "approved", 346     "approval_status": "approved",
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            62   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 357   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            63   "private": false, 358   "private": false,
            64   "relationships_as_object": [], 359   "relationships_as_object": [],
            65   "relationships_as_subject": [], 360   "relationships_as_subject": [],
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            67     { 362   "services_used_list": "",
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            69       "cache_url": null, 
            70       "created": "2024-11-25T15:30:26", 
            71       "data": [ 
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            84         "dcterms:format", 
            85         "mls:task" 
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            87       "description": "The json representation of the dataset with its  
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            721     },
            722     {
            723       "display_name": "Video Snippet",
            724       "id": "d674eac3-3597-461e-bdb8-87c0571fe4b0",
            725       "name": "Video Snippet",
            726       "state": "active",
            727       "vocabulary_id": null
            728     },
            729     {
            730       "display_name": "Visual Grounding",
            731       "id": "82dad3b4-e1c2-47b9-9aa8-dc78c0274934",
            732       "name": "Visual Grounding",
            733       "state": "active",
            734       "vocabulary_id": null
            735     },
            736     {
            737       "display_name": "Voxel-based Scenes",
            738       "id": "3435b04c-a8ae-48a3-8dee-aab7b9ef7025",
            739       "name": "Voxel-based Scenes",
            740       "state": "active",
            741       "vocabulary_id": null
            742     },
            743     {
            744       "display_name": "computer vision",
            745       "id": "f650b4e3-9955-49b0-ba7b-2d302a990978",
            746       "name": "computer vision",
            747       "state": "active",
            748       "vocabulary_id": null
            749     },
            750     {
            751       "display_name": "depth estimation",
            752       "id": "3c08a798-cec3-4682-a668-4f95d6d8ad18",
            753       "name": "depth estimation",
            754       "state": "active",
            755       "vocabulary_id": null
            756     },
            757     {
            758       "display_name": "depth images",
            759       "id": "589c28de-8401-4803-8cb6-b46c39d73dcc",
            760       "name": "depth images",
            761       "state": "active",
            762       "vocabulary_id": null
            763     },
            764     {
            765       "display_name": "image matching",
            766       "id": "941d5b3d-48d3-44c9-9529-7666b0aec81c",
            767       "name": "image matching",
            768       "state": "active",
            769       "vocabulary_id": null
            770     },
            771     {
            772       "display_name": "indoor",
            773       "id": "6e9bd880-03e3-4012-b961-78941f1435c0",
            774       "name": "indoor",
            775       "state": "active",
            776       "vocabulary_id": null
            777     },
            778     {
            779       "display_name": "indoor scene",
            780       "id": "6ea936b7-33d6-416a-9639-c65133309404",
            781       "name": "indoor scene",
            782       "state": "active",
            783       "vocabulary_id": null
            784     },
            785     {
            786       "display_name": "indoor scene understanding",
            787       "id": "09081b59-cdf6-41ee-9ce4-939ea1045586",
            788       "name": "indoor scene understanding",
            789       "state": "active",
            790       "vocabulary_id": null
            791     },
            792     {
            793       "display_name": "indoor scenes",
            794       "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f",
            795       "name": "indoor scenes",
            796       "state": "active",
            797       "vocabulary_id": null
            798     },
            799     {
            800       "display_name": "large-scale dataset",
            801       "id": "a9c694bf-f591-4625-a20e-d53d3f90d489",
            802       "name": "large-scale dataset",
            803       "state": "active",
            804       "vocabulary_id": null
            805     },
            806     {
            807       "display_name": "mobile manipulation",
            808       "id": "f06b740c-425b-4ccd-b230-46bf5490390e",
            809       "name": "mobile manipulation",
            810       "state": "active",
            811       "vocabulary_id": null
            812     },
            813     {
            814       "display_name": "monocular sequences",
            815       "id": "7d8f73f2-4a98-4965-b2fc-132121782a61",
            816       "name": "monocular sequences",
            817       "state": "active",
            818       "vocabulary_id": null
            819     },
            820     {
            821       "display_name": "monocular vision",
            822       "id": "4a1b42c2-bc18-4b0f-bbf3-5c453bebed3b",
            823       "name": "monocular vision",
            824       "state": "active",
            825       "vocabulary_id": null
            826     },
            827     {
            828       "display_name": "object manipulation",
            829       "id": "7982e325-2a38-4ce1-b8e7-7ca43a0376f4",
            830       "name": "object manipulation",
            831       "state": "active",
            832       "vocabulary_id": null
            833     },
            834     {
            835       "display_name": "object recognition",
            836       "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c",
            837       "name": "object recognition",
            838       "state": "active",
            839       "vocabulary_id": null
            840     },
            841     {
            842       "display_name": "point cloud",
            843       "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19",
            844       "name": "point cloud",
            845       "state": "active",
            846       "vocabulary_id": null
            847     },
            848     {
            849       "display_name": "point cloud data",
            850       "id": "2072985c-8377-4acd-9d25-57a4830b9664",
            851       "name": "point cloud data",
            852       "state": "active",
            853       "vocabulary_id": null
            854     },
            855     {
            856       "display_name": "poses",
            857       "id": "f2595e7c-4791-42fe-b42b-273552c610ee",
            858       "name": "poses",
            859       "state": "active",
            860       "vocabulary_id": null
            861     },
            862     {
            863       "display_name": "real scans",
            864       "id": "d9d5381e-dde0-4938-8b1e-cad20c8178e6",
            865       "name": "real scans",
            866       "state": "active",
            867       "vocabulary_id": null
            868     },
            869     {
            870       "display_name": "scene segmentation",
            871       "id": "94db0e66-2f29-4c88-bc8d-63001457117a",
            872       "name": "scene segmentation",
            873       "state": "active",
            874       "vocabulary_id": null
            875     },
            876     {
            877       "display_name": "scene understanding",
            878       "id": "d56fbd48-e5ed-410d-8c4f-e698955e28fa",
            879       "name": "scene understanding",
            880       "state": "active",
            881       "vocabulary_id": null
            882     },
            883     {
            884       "display_name": "segmentation",
            885       "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44",
            886       "name": "segmentation",
            887       "state": "active",
            888       "vocabulary_id": null
            889     },
            890     {
            891       "display_name": "semantic labels",
            892       "id": "bb5e3c7e-238d-4740-9b9b-adcfee58feea",
            893       "name": "semantic labels",
            894       "state": "active",
            895       "vocabulary_id": null
            896     },
            897     {
            898       "display_name": "semantic mapping",
            899       "id": "75ba1d45-c664-43c6-8a36-bd2e8ed944b2",
            900       "name": "semantic mapping",
            901       "state": "active",
            902       "vocabulary_id": null
            903     },
            904     {
            905       "display_name": "stereo images",
            906       "id": "710f3486-4ead-4428-97d9-d3fa8f90bea4",
            907       "name": "stereo images",
            908       "state": "active",
            909       "vocabulary_id": null
            910     },
            911     {
            912       "display_name": "understanding",
            913       "id": "08af4a45-f67e-4d3a-a8d5-c03e8bb54291",
            914       "name": "understanding",
            915       "state": "active",
            916       "vocabulary_id": null
            105     } 917     }
            106   ], 918   ],
            t 107   "services_used_list": "", t 
            108   "state": "active", 
            109   "tags": [], 
            110   "title": "ScanNet", 919   "title": "ScanNet",
            111   "type": "dataset", 920   "type": "dataset",
            112   "version": "" 921   "version": ""
            113 } 922 }