Changes

On December 2, 2024 at 5:39:14 PM UTC, admin:
Changed title to ImageNet-1K (previously ImageNet-1k)
Set author of ImageNet-1K to Tan Yu (previously Jia Deng)
Updated description of ImageNet-1K from
ImageNet is a large-scale image database organized according to the WordNet hierarchy, where each node of the hierarchy is linked to numerous images.
to
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used small-scale image recognition datasets such as Mini-ImageNet, CIFAR-10, CIFAR-100, and Fashion-MNIST.
Added the following tags to ImageNet-1K
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2209.07735 in ImageNet-1K
Changed value of field extra_authors to [{'extra_author': 'Xu Li', 'orcid': ''}, {'extra_author': 'Yunfeng Cai', 'orcid': ''}, {'extra_author': 'Mingming Sun', 'orcid': ''}, {'extra_author': 'Ping Li', 'orcid': ''}] in ImageNet-1K
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2407.12217', 'https://doi.org/10.48550/arXiv.2108.08487', 'https://doi.org/10.48550/arXiv.2406.05850', 'https://doi.org/10.48550/arXiv.2308.08884', 'https://doi.org/10.48550/arXiv.2305.17644', 'https://doi.org/10.48550/arXiv.2311.05988', 'https://doi.org/10.48550/arXiv.1802.02326', 'https://doi.org/10.48550/arXiv.2206.14502', 'https://doi.org/10.48550/arXiv.2201.12903', 'https://doi.org/10.48550/arXiv.2311.07623', 'https://doi.org/10.48550/arXiv.2309.03004', 'https://doi.org/10.48550/arXiv.2201.06618', 'https://doi.org/10.48550/arXiv.2404.08958', 'https://doi.org/10.48550/arXiv.2312.01987', 'https://doi.org/10.48550/arXiv.2311.05707', 'https://doi.org/10.48550/arXiv.2206.07706', 'https://doi.org/10.48550/arXiv.2202.06709', 'https://doi.org/10.48550/arXiv.2405.18240', 'https://doi.org/10.48550/arXiv.2002.06619', 'https://doi.org/10.48550/arXiv.2407.18559'] in ImageNet-1K
Changed value of field landing_page to https://www.image-net.org/ in ImageNet-1K
Deleted resource Original Metadata from ImageNet-1K
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Jia Deng", n 3   "author": "Tan Yu",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [], n 5   "citation": [
            6     "https://doi.org/10.48550/arXiv.2407.12217",
            7     "https://doi.org/10.48550/arXiv.2108.08487",
            8     "https://doi.org/10.48550/arXiv.2406.05850",
            9     "https://doi.org/10.48550/arXiv.2308.08884",
            10     "https://doi.org/10.48550/arXiv.2305.17644",
            11     "https://doi.org/10.48550/arXiv.2311.05988",
            12     "https://doi.org/10.48550/arXiv.1802.02326",
            13     "https://doi.org/10.48550/arXiv.2206.14502",
            14     "https://doi.org/10.48550/arXiv.2201.12903",
            15     "https://doi.org/10.48550/arXiv.2311.07623",
            16     "https://doi.org/10.48550/arXiv.2309.03004",
            17     "https://doi.org/10.48550/arXiv.2201.06618",
            18     "https://doi.org/10.48550/arXiv.2404.08958",
            19     "https://doi.org/10.48550/arXiv.2312.01987",
            20     "https://doi.org/10.48550/arXiv.2311.05707",
            21     "https://doi.org/10.48550/arXiv.2206.07706",
            22     "https://doi.org/10.48550/arXiv.2202.06709",
            23     "https://doi.org/10.48550/arXiv.2405.18240",
            24     "https://doi.org/10.48550/arXiv.2002.06619",
            25     "https://doi.org/10.48550/arXiv.2407.18559"
            26   ],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 27   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "", n 28   "defined_in": "https://doi.org/10.48550/arXiv.2209.07735",
            8   "doi": "10.57702/6zjyphsv", 29   "doi": "10.57702/6zjyphsv",
            9   "doi_date_published": "2024-11-25", 30   "doi_date_published": "2024-11-25",
            10   "doi_publisher": "TIB", 31   "doi_publisher": "TIB",
            11   "doi_status": true, 32   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 33   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 34   "extra_authors": [
            14     { 35     {
            n 15       "extra_author": "Wei Dong", n 36       "extra_author": "Xu Li",
            16       "orcid": "" 37       "orcid": ""
            17     }, 38     },
            18     { 39     {
            n 19       "extra_author": "Richard Socher", n 40       "extra_author": "Yunfeng Cai",
            20       "orcid": "" 41       "orcid": ""
            21     }, 42     },
            22     { 43     {
            n 23       "extra_author": "Li-Jia Li", n 44       "extra_author": "Mingming Sun",
            24       "orcid": "" 45       "orcid": ""
            25     }, 46     },
            26     { 47     {
            n 27       "extra_author": "Kai Li", n 48       "extra_author": "Ping Li",
            28       "orcid": "" 
            29     }, 
            30     { 
            31       "extra_author": "Li Fei-Fei", 
            32       "orcid": "" 49       "orcid": ""
            33     } 50     }
            34   ], 51   ],
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            57       "image_display_url": "",
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            60     },
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            65       "image_display_url": "",
            66       "name": "image-classification",
            67       "title": "Image Classification"
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            73       "image_display_url": "",
            74       "name": "natural-language-processing",
            75       "title": "Natural Language Processing"
            76     },
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            79       "display_name": "Object Detection",
            80       "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20",
            81       "image_display_url": "",
            82       "name": "object-detection",
            83       "title": "Object Detection"
            84     },
            85     {
            86       "description": "",
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            88       "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e",
            89       "image_display_url": "",
            90       "name": "semantic-segmentation",
            91       "title": "Semantic Segmentation"
            92     },
            93     {
            94       "description": "",
            95       "display_name": "Video Classification",
            96       "id": "1b6daec6-75b6-4254-b646-3df8c5ba3b6c",
            97       "image_display_url": "",
            98       "name": "video-classification",
            99       "title": "Video Classification"
            100     }
            101   ],
            36   "id": "67eae49e-386c-439e-8272-4a847cfff8b7", 102   "id": "67eae49e-386c-439e-8272-4a847cfff8b7",
            37   "isopen": false, 103   "isopen": false,
            n 38   "landing_page": "", n 104   "landing_page": "https://www.image-net.org/",
            39   "license_title": null, 105   "license_title": null,
            40   "link_orkg": "", 106   "link_orkg": "",
            41   "metadata_created": "2024-11-25T14:52:17.844637", 107   "metadata_created": "2024-11-25T14:52:17.844637",
            n 42   "metadata_modified": "2024-11-25T14:52:18.192979", n 108   "metadata_modified": "2024-12-02T17:39:13.721351",
            43   "name": "imagenet-1k", 109   "name": "imagenet-1k",
            n 44   "notes": "ImageNet is a large-scale image database organized  n 110   "notes": "The dataset used in the paper is not explicitly described, 
            45 according to the WordNet hierarchy, where each node of the hierarchy  111 but it is mentioned that the authors used small-scale image 
            46 is linked to numerous images.", 112 recognition datasets such as Mini-ImageNet, CIFAR-10, CIFAR-100, and 
            113 Fashion-MNIST.",
            47   "num_resources": 1, 114   "num_resources": 0,
            48   "num_tags": 0, 115   "num_tags": 30,
            49   "organization": { 116   "organization": {
            50     "approval_status": "approved", 117     "approval_status": "approved",
            51     "created": "2024-11-25T12:11:38.292601", 118     "created": "2024-11-25T12:11:38.292601",
            52     "description": "", 119     "description": "",
            53     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 120     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            54     "image_url": "", 121     "image_url": "",
            55     "is_organization": true, 122     "is_organization": true,
            56     "name": "no-organization", 123     "name": "no-organization",
            57     "state": "active", 124     "state": "active",
            58     "title": "No Organization", 125     "title": "No Organization",
            59     "type": "organization" 126     "type": "organization"
            60   }, 127   },
            61   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 128   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            62   "private": false, 129   "private": false,
            63   "relationships_as_object": [], 130   "relationships_as_object": [],
            64   "relationships_as_subject": [], 131   "relationships_as_subject": [],
            n 65   "resources": [ n 132   "resources": [],
            66     { 133   "services_used_list": "",
            67       "cache_last_updated": null, 
            68       "cache_url": null, 
            69       "created": "2024-11-25T15:30:26", 
            70       "data": [ 
            71         "dcterms:title", 
            72         "dcterms:accessRights", 
            73         "dcterms:creator", 
            74         "dcterms:description", 
            75         "dcterms:issued", 
            76         "dcterms:language", 
            77         "dcterms:identifier", 
            78         "dcat:theme", 
            79         "dcterms:type", 
            80         "dcat:keyword", 
            81         "dcat:landingPage", 
            82         "dcterms:hasVersion", 
            83         "dcterms:format", 
            84         "mls:task" 
            85       ], 
            86       "description": "The json representation of the dataset with its  
            87 distributions based on DCAT.", 
            88       "format": "JSON", 
            89       "hash": "", 
            90       "id": "9f2e6a16-e0e1-487c-bbe2-247f4df477b5", 
            91       "last_modified": "2024-11-25T14:52:18.185151", 
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            93       "mimetype": "application/json", 
            94       "mimetype_inner": null, 
            95       "name": "Original Metadata", 
            96       "package_id": "67eae49e-386c-439e-8272-4a847cfff8b7", 
            97       "position": 0, 
            98       "resource_type": null, 
            99       "size": 702, 
            100       "state": "active", 134   "state": "active",
            101       "url":  135   "tags": [
            102 resource/9f2e6a16-e0e1-487c-bbe2-247f4df477b5/download/metadata.json", 136     {
            103       "url_type": "upload" 137       "display_name": "Classification",
            138       "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455",
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            143     {
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            150     {
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            152       "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b",
            153       "name": "Dataset",
            154       "state": "active",
            155       "vocabulary_id": null
            156     },
            157     {
            158       "display_name": "Detection",
            159       "id": "0a1e40c9-2571-474a-ae08-794f6233e3a4",
            160       "name": "Detection",
            161       "state": "active",
            162       "vocabulary_id": null
            163     },
            164     {
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            168       "state": "active",
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            185     {
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            190       "vocabulary_id": null
            191     },
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            195       "name": "ImageNet-1K",
            196       "state": "active",
            197       "vocabulary_id": null
            198     },
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            203       "state": "active",
            204       "vocabulary_id": null
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            258       "name": "Object Detection",
            259       "state": "active",
            260       "vocabulary_id": null
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            262     {
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            267       "vocabulary_id": null
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            280       "state": "active",
            281       "vocabulary_id": null
            282     },
            283     {
            284       "display_name": "Semantic segmentation",
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            286       "name": "Semantic segmentation",
            287       "state": "active",
            288       "vocabulary_id": null
            289     },
            290     {
            291       "display_name": "Video Classification",
            292       "id": "0efdf60d-08ed-43fd-b284-3ae2e6890178",
            293       "name": "Video Classification",
            294       "state": "active",
            295       "vocabulary_id": null
            296     },
            297     {
            298       "display_name": "Vision Transformer",
            299       "id": "7d1dddfb-e319-4d4e-ab84-bd7867b67bc4",
            300       "name": "Vision Transformer",
            301       "state": "active",
            302       "vocabulary_id": null
            303     },
            304     {
            305       "display_name": "Vision Transformers",
            306       "id": "53a1aaac-eb0f-41e2-a6f1-1461b453add1",
            307       "name": "Vision Transformers",
            308       "state": "active",
            309       "vocabulary_id": null
            310     },
            311     {
            312       "display_name": "deep learning",
            313       "id": "19e41883-3799-4184-9e0e-26c95795b119",
            314       "name": "deep learning",
            315       "state": "active",
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            317     },
            318     {
            319       "display_name": "image classification",
            320       "id": "34936550-ce1a-41b5-8c58-23081a6c673d",
            321       "name": "image classification",
            322       "state": "active",
            323       "vocabulary_id": null
            324     },
            325     {
            326       "display_name": "large-scale dataset",
            327       "id": "a9c694bf-f591-4625-a20e-d53d3f90d489",
            328       "name": "large-scale dataset",
            329       "state": "active",
            330       "vocabulary_id": null
            331     },
            332     {
            333       "display_name": "object detection",
            334       "id": "607283c7-9e12-4167-9101-7f8078fb6537",
            335       "name": "object detection",
            336       "state": "active",
            337       "vocabulary_id": null
            338     },
            339     {
            340       "display_name": "segmentation",
            341       "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44",
            342       "name": "segmentation",
            343       "state": "active",
            344       "vocabulary_id": null
            104     } 345     }
            105   ], 346   ],
            t 106   "services_used_list": "", t 
            107   "state": "active", 
            108   "tags": [], 
            109   "title": "ImageNet-1k", 347   "title": "ImageNet-1K",
            110   "type": "dataset", 348   "type": "dataset",
            111   "version": "" 349   "version": ""
            112 } 350 }