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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Adri`a Recasens",
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  "author": "Adri`a Recasens",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2111.05956"
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    "https://doi.org/10.48550/arXiv.2111.05956"
            
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  ],
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  ],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1904.08502",
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  "defined_in": "https://doi.org/10.48550/arXiv.1904.08502",
            
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  "doi": "10.57702/j60e06dy",
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  "doi": "10.57702/j60e06dy",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Petr Kellnhofer",
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      "extra_author": "Petr Kellnhofer",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Simon Stent",
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      "extra_author": "Simon Stent",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Wojciech Matusik",
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      "extra_author": "Wojciech Matusik",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Antonio Torralba",
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      "extra_author": "Antonio Torralba",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [
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      "description": "",
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      "description": "",
            
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      "name": "computer-vision",
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      "name": "computer-vision",
            
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      "title": "Computer Vision"
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      "title": "Computer Vision"
            
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      "name": "image-recognition",
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      "name": "image-recognition",
            
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      "title": "Image Recognition"
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      "title": "Image Recognition"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Species Classification",
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      "display_name": "Species Classification",
            
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      "image_display_url": "",
            
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      "name": "species-classification",
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      "name": "species-classification",
            
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      "title": "Species Classification"
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      "title": "Species Classification"
            
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    }
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  "landing_page": "https://github.com/recasens/Saliency-Sampler",
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  "landing_page": "https://github.com/recasens/Saliency-Sampler",
            
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  "license_title": null,
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  "metadata_created": "2024-12-16T18:08:43.810326",
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  "metadata_created": "2024-12-16T18:08:43.810326",
            
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  "metadata_modified": "2024-12-16T18:08:44.185670",
            
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  "name": "inaturalist-dataset",
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  "name": "inaturalist-dataset",
            
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  "notes": "The iNaturalist dataset is a crowdsourced compendium of 
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  "notes": "The iNaturalist dataset is a crowdsourced compendium of 
            
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living organisms, with fine- and coarse-grained species distinctions, 
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living organisms, with fine- and coarse-grained species distinctions, 
            
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a heavy-tailed class size distribution, and bounding box 
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a heavy-tailed class size distribution, and bounding box 
            
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annotations.",
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annotations.",
            
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  "organization": {
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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  "relationships_as_object": [],
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    {
            
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      "created": "2024-12-16T18:25:32",
            
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      "data": [
            
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      ],
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "ed003ac0-5eae-427d-b8ce-9eef210e8f40",
            
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      "last_modified": "2024-12-16T18:08:44.177374",
            
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      "size": 1201,
            
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  "tags": [
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    {
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      "display_name": "Fine-grained object recognition",
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      "display_name": "Fine-grained object recognition",
            
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      "name": "Fine-grained object recognition",
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      "name": "Fine-grained object recognition",
            
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    },
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      "display_name": "bounding box annotations",
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      "display_name": "bounding box annotations",
            
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    },
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    },
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      "name": "living organisms",
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      "name": "living organisms",
            
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      "state": "active",
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "natural objects",
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      "display_name": "natural objects",
            
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      "id": "0c570b79-a091-4252-b238-32c156614a6a",
            
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      "name": "natural objects",
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      "name": "natural objects",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "species distinctions",
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      "display_name": "species distinctions",
            
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      "id": "343ee866-ec42-4e9f-a268-b6dc24aaf2bb",
            
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      "name": "species distinctions",
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      "name": "species distinctions",
            
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "species identification",
            
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      "name": "species identification",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "iNaturalist dataset",
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  "title": "iNaturalist dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}