Changes

On December 2, 2024 at 11:14:13 PM UTC, admin:
Changed title to kvasir-SEG (previously Kvasir-SEG)
Set author of kvasir-SEG to Trung-Nghia Le (previously Tal Shaharabany)
Updated description of kvasir-SEG from
Kvasir-SEG dataset is a public dataset for medical image segmentation. It contains 900 training and 100 testing images of gastrointestinal polyps.
to
The dataset used for anabranch network for camouflaged object segmentation.
Removed the following tags from kvasir-SEG
Added tag medical image segmentation to kvasir-SEG
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2304.09148 in kvasir-SEG
Changed value of field extra_authors to [{'extra_author': 'Tam V Nguyen', 'orcid': ''}, {'extra_author': 'Zhongliang Nie', 'orcid': ''}, {'extra_author': 'Minh-Triet Tran', 'orcid': ''}, {'extra_author': 'Akihiro Sugimoto', 'orcid': ''}] in kvasir-SEG
Changed value of field citation to [] in kvasir-SEG
Changed value of field landing_page to https://tianrun-chen.github.io/SAM-Adaptor/ in kvasir-SEG
Deleted resource Original Metadata from kvasir-SEG
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Tal Shaharabany", n 3   "author": "Trung-Nghia Le",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [ n 5   "citation": [],
            6     "https://doi.org/10.48550/arXiv.2101.07172", 
            7     "https://doi.org/10.48550/arXiv.2306.06370", 
            8     "https://doi.org/10.48550/arXiv.2103.15715", 
            9     "https://doi.org/10.48550/arXiv.2407.07406", 
            10     "https://doi.org/10.48550/arXiv.2103.06725" 
            11   ], 
            12   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 13   "defined_in": "https://doi.org/10.48550/arXiv.2205.15428", n 7   "defined_in": "https://doi.org/10.48550/arXiv.2304.09148",
            14   "doi": "10.57702/toixbeod", 8   "doi": "10.57702/toixbeod",
            15   "doi_date_published": "2024-12-02", 9   "doi_date_published": "2024-12-02",
            16   "doi_publisher": "TIB", 10   "doi_publisher": "TIB",
            17   "doi_status": true, 11   "doi_status": true,
            18   "domain": "https://service.tib.eu/ldmservice", 12   "domain": "https://service.tib.eu/ldmservice",
            19   "extra_authors": [ 13   "extra_authors": [
            20     { 14     {
            n 21       "extra_author": "Aviad Dahan", n 15       "extra_author": "Tam V Nguyen",
            22       "orcid": "" 16       "orcid": ""
            23     }, 17     },
            24     { 18     {
            n 25       "extra_author": "Raja Giryes", n 19       "extra_author": "Zhongliang Nie",
            26       "orcid": "" 20       "orcid": ""
            27     }, 21     },
            28     { 22     {
            n 29       "extra_author": "Lior Wolf", n 23       "extra_author": "Minh-Triet Tran",
            24       "orcid": ""
            25     },
            26     {
            27       "extra_author": "Akihiro Sugimoto",
            30       "orcid": "" 28       "orcid": ""
            31     } 29     }
            32   ], 30   ],
            33   "groups": [ 31   "groups": [
            n 34     { n 
            35       "description": "", 
            36       "display_name": "Gastrointestinal Disease Detection", 
            37       "id": "dc3cf7cf-210d-44e4-9b58-d56e6c021879", 
            38       "image_display_url": "", 
            39       "name": "gastrointestinal-disease-detection", 
            40       "title": "Gastrointestinal Disease Detection" 
            41     }, 
            42     { 
            43       "description": "", 
            44       "display_name": "Image Segmentation", 
            45       "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", 
            46       "image_display_url": "", 
            47       "name": "image-segmentation", 
            48       "title": "Image Segmentation" 
            49     }, 
            50     { 
            51       "description": "", 
            52       "display_name": "Medical Image Analysis", 
            53       "id": "2f8bf60c-dbda-4650-b6f0-ee38a7549438", 
            54       "image_display_url": "", 
            55       "name": "medical-image-analysis", 
            56       "title": "Medical Image Analysis" 
            57     }, 
            58     { 32     {
            59       "description": "", 33       "description": "",
            60       "display_name": "Medical Image Segmentation", 34       "display_name": "Medical Image Segmentation",
            61       "id": "30b6f278-a6f5-4a21-8a07-80737406cc87", 35       "id": "30b6f278-a6f5-4a21-8a07-80737406cc87",
            62       "image_display_url": "", 36       "image_display_url": "",
            63       "name": "medical-image-segmentation", 37       "name": "medical-image-segmentation",
            64       "title": "Medical Image Segmentation" 38       "title": "Medical Image Segmentation"
            n 65     }, n 
            66     { 
            67       "description": "", 
            68       "display_name": "Medical Imaging", 
            69       "id": "b86e8f52-a230-44ce-b290-7823c9f6a877", 
            70       "image_display_url": "", 
            71       "name": "medical-imaging", 
            72       "title": "Medical Imaging" 
            73     }, 
            74     { 
            75       "description": "", 
            76       "display_name": "Polyp Segmentation", 
            77       "id": "d4ef3437-f592-4fd4-bfb5-f1214a730eb7", 
            78       "image_display_url": "", 
            79       "name": "polyp-segmentation", 
            80       "title": "Polyp Segmentation" 
            81     } 39     }
            82   ], 40   ],
            83   "id": "c7cf48a2-9419-46cd-86c6-0bae23bab37e", 41   "id": "c7cf48a2-9419-46cd-86c6-0bae23bab37e",
            84   "isopen": false, 42   "isopen": false,
            n 85   "landing_page": "https://www.kvasir-seg.com/", n 43   "landing_page": "https://tianrun-chen.github.io/SAM-Adaptor/",
            86   "license_title": null, 44   "license_title": null,
            87   "link_orkg": "", 45   "link_orkg": "",
            88   "metadata_created": "2024-12-02T18:00:53.763710", 46   "metadata_created": "2024-12-02T18:00:53.763710",
            n 89   "metadata_modified": "2024-12-02T18:00:54.129532", n 47   "metadata_modified": "2024-12-02T23:14:12.812821",
            90   "name": "kvasir-seg", 48   "name": "kvasir-seg",
            n 91   "notes": "Kvasir-SEG dataset is a public dataset for medical image  n 49   "notes": "The dataset used for anabranch network for camouflaged 
            92 segmentation. It contains 900 training and 100 testing images of  50 object segmentation.",
            93 gastrointestinal polyps.", 
            94   "num_resources": 1, 51   "num_resources": 0,
            95   "num_tags": 15, 52   "num_tags": 1,
            96   "organization": { 53   "organization": {
            97     "approval_status": "approved", 54     "approval_status": "approved",
            98     "created": "2024-11-25T12:11:38.292601", 55     "created": "2024-11-25T12:11:38.292601",
            99     "description": "", 56     "description": "",
            100     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 57     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            101     "image_url": "", 58     "image_url": "",
            102     "is_organization": true, 59     "is_organization": true,
            103     "name": "no-organization", 60     "name": "no-organization",
            104     "state": "active", 61     "state": "active",
            105     "title": "No Organization", 62     "title": "No Organization",
            106     "type": "organization" 63     "type": "organization"
            107   }, 64   },
            108   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 65   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            109   "private": false, 66   "private": false,
            110   "relationships_as_object": [], 67   "relationships_as_object": [],
            111   "relationships_as_subject": [], 68   "relationships_as_subject": [],
            n 112   "resources": [ n 69   "resources": [],
            113     { 
            114       "cache_last_updated": null, 
            115       "cache_url": null, 
            116       "created": "2024-12-02T18:38:42", 
            117       "data": [ 
            118         "dcterms:title", 
            119         "dcterms:accessRights", 
            120         "dcterms:creator", 
            121         "dcterms:description", 
            122         "dcterms:issued", 
            123         "dcterms:language", 
            124         "dcterms:identifier", 
            125         "dcat:theme", 
            126         "dcterms:type", 
            127         "dcat:keyword", 
            128         "dcat:landingPage", 
            129         "dcterms:hasVersion", 
            130         "dcterms:format", 
            131         "mls:task", 
            132         "datacite:isDescribedBy" 
            133       ], 
            134       "description": "The json representation of the dataset with its  
            135 distributions based on DCAT.", 
            136       "format": "JSON", 
            137       "hash": "", 
            138       "id": "21da18a6-0d63-4a6e-aace-3b8c2e7a6308", 
            139       "last_modified": "2024-12-02T18:00:54.120712", 
            140       "metadata_modified": "2024-12-02T18:00:54.132320", 
            141       "mimetype": "application/json", 
            142       "mimetype_inner": null, 
            143       "name": "Original Metadata", 
            144       "package_id": "c7cf48a2-9419-46cd-86c6-0bae23bab37e", 
            145       "position": 0, 
            146       "resource_type": null, 
            147       "size": 1369, 
            148       "state": "active", 
            149       "url":  
            150 resource/21da18a6-0d63-4a6e-aace-3b8c2e7a6308/download/metadata.json", 
            151       "url_type": "upload" 
            152     } 
            153   ], 
            154   "services_used_list": "", 70   "services_used_list": "",
            155   "state": "active", 71   "state": "active",
            156   "tags": [ 72   "tags": [
            157     { 73     {
            n 158       "display_name": "Colonoscopy", n 
            159       "id": "f8b792e2-556c-4e04-bcc5-9f9ad375cce6", 
            160       "name": "Colonoscopy", 
            161       "state": "active", 
            162       "vocabulary_id": null 
            163     }, 
            164     { 
            165       "display_name": "Gastrointestinal Disease Detection", 
            166       "id": "701eeb5e-3d02-46ac-8b13-6e972c1f73ab", 
            167       "name": "Gastrointestinal Disease Detection", 
            168       "state": "active", 
            169       "vocabulary_id": null 
            170     }, 
            171     { 
            172       "display_name": "Gastrointestinal Polyps", 
            173       "id": "64a1c732-27da-4afa-a2cd-9a241b187fe1", 
            174       "name": "Gastrointestinal Polyps", 
            175       "state": "active", 
            176       "vocabulary_id": null 
            177     }, 
            178     { 
            179       "display_name": "Image Segmentation", 
            180       "id": "f5603951-aef2-4539-8066-15e72f32271b", 
            181       "name": "Image Segmentation", 
            182       "state": "active", 
            183       "vocabulary_id": null 
            184     }, 
            185     { 
            186       "display_name": "Medical Image Analysis", 
            187       "id": "7723629d-5b10-4e0b-9214-7aeb8f5d58cc", 
            188       "name": "Medical Image Analysis", 
            189       "state": "active", 
            190       "vocabulary_id": null 
            191     }, 
            192     { 
            193       "display_name": "Medical Image Segmentation", 74       "display_name": "medical image segmentation",
            194       "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f", 75       "id": "5f476bd2-3620-438a-a010-6c317a9c5092",
            195       "name": "Medical Image Segmentation", 76       "name": "medical image segmentation",
            196       "state": "active", 
            197       "vocabulary_id": null 
            198     }, 
            199     { 
            200       "display_name": "Medical Imaging", 
            201       "id": "10261ea5-4420-472c-8004-e29d20a88fb8", 
            202       "name": "Medical Imaging", 
            203       "state": "active", 
            204       "vocabulary_id": null 
            205     }, 
            206     { 
            207       "display_name": "Polyp Segmentation", 
            208       "id": "4248cc88-6d26-4620-afba-698624991fb6", 
            209       "name": "Polyp Segmentation", 
            210       "state": "active", 
            211       "vocabulary_id": null 
            212     }, 
            213     { 
            214       "display_name": "Segmented Polyps", 
            215       "id": "b8d99a35-298e-4a66-a4d4-ec26da1c56f6", 
            216       "name": "Segmented Polyps", 
            217       "state": "active", 
            218       "vocabulary_id": null 
            219     }, 
            220     { 
            221       "display_name": "colonoscopy", 
            222       "id": "bb725e3e-b888-4302-be58-d887eafa62fa", 
            223       "name": "colonoscopy", 
            224       "state": "active", 
            225       "vocabulary_id": null 
            226     }, 
            227     { 
            228       "display_name": "medical image", 
            229       "id": "a8c128c6-2829-41e0-a4c3-4a817d7c4add", 
            230       "name": "medical image", 
            231       "state": "active", 
            232       "vocabulary_id": null 
            233     }, 
            234     { 
            235       "display_name": "medical images", 
            236       "id": "8e695e53-0fca-4cb6-90ee-131dc9cfeab9", 
            237       "name": "medical images", 
            238       "state": "active", 
            239       "vocabulary_id": null 
            240     }, 
            241     { 
            242       "display_name": "polyp", 
            243       "id": "6c1d0f08-a8c9-41b9-9d36-d4dbfcf1dd78", 
            244       "name": "polyp", 
            245       "state": "active", 
            246       "vocabulary_id": null 
            247     }, 
            248     { 
            249       "display_name": "polyp segmentation", 
            250       "id": "dd5138ac-2228-4f7a-ba64-6a7919c92202", 
            251       "name": "polyp segmentation", 
            252       "state": "active", 
            253       "vocabulary_id": null 
            254     }, 
            255     { 
            256       "display_name": "segmentation", 
            257       "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", 
            258       "name": "segmentation", 
            259       "state": "active", 77       "state": "active",
            260       "vocabulary_id": null 78       "vocabulary_id": null
            261     } 79     }
            262   ], 80   ],
            t 263   "title": "Kvasir-SEG", t 81   "title": "kvasir-SEG",
            264   "type": "dataset", 82   "type": "dataset",
            265   "version": "" 83   "version": ""
            266 } 84 }