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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Aayush Bansal",
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  "author": "Aayush Bansal",
            
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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.1808.05174",
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    "https://doi.org/10.48550/arXiv.1808.05174",
            
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    "https://doi.org/10.48550/arXiv.2004.06502"
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    "https://doi.org/10.48550/arXiv.2004.06502"
            
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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.1908.09514",
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  "defined_in": "https://doi.org/10.48550/arXiv.1908.09514",
            
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  "doi": "10.57702/iywas1al",
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  "doi": "10.57702/iywas1al",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "doi_status": true,
            
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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": "Shugao Ma",
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      "extra_author": "Shugao Ma",
            
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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": "Deva Ramanan",
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      "extra_author": "Deva Ramanan",
            
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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": "Yaser Sheikh",
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      "extra_author": "Yaser Sheikh",
            
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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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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Image-to-Labels",
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      "display_name": "Image-to-Labels",
            
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      "id": "558426b8-093d-4b47-bb83-0c0c55eac7cf",
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      "image_display_url": "",
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      "name": "image-to-labels",
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      "name": "image-to-labels",
            
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      "title": "Image-to-Labels"
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      "title": "Image-to-Labels"
            
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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": "Labels-to-Image",
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      "display_name": "Labels-to-Image",
            
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      "image_display_url": "",
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      "name": "labels-to-image",
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      "name": "labels-to-image",
            
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      "title": "Labels-to-Image"
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      "title": "Labels-to-Image"
            
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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": "Video Segmentation",
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      "display_name": "Video Segmentation",
            
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      "id": "c96fadcb-3e8c-4ce6-abe8-1a388c84a991",
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      "id": "c96fadcb-3e8c-4ce6-abe8-1a388c84a991",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "video-segmentation",
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      "name": "video-segmentation",
            
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      "title": "Video Segmentation"
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      "title": "Video Segmentation"
            
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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": "Video-to-Video Translation",
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      "display_name": "Video-to-Video Translation",
            
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      "id": "5f4e64e8-dc14-44c5-a0fc-7afd7a07da6e",
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      "id": "5f4e64e8-dc14-44c5-a0fc-7afd7a07da6e",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "video-to-video-translation",
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      "name": "video-to-video-translation",
            
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      "title": "Video-to-Video Translation"
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      "title": "Video-to-Video Translation"
            
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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": "Visual Perception",
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      "display_name": "Visual Perception",
            
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      "id": "54e73f52-068c-40ef-aa56-f35c96bf6e86",
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      "id": "54e73f52-068c-40ef-aa56-f35c96bf6e86",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "visual-perception",
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      "name": "visual-perception",
            
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      "title": "Visual Perception"
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      "title": "Visual Perception"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "c3c92de0-28f9-46ba-9184-49b90a86192f",
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  "id": "c3c92de0-28f9-46ba-9184-49b90a86192f",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://arxiv.org/abs/1606.03698",
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  "landing_page": "https://arxiv.org/abs/1606.03698",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-11-25T14:56:06.940700",
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  "metadata_created": "2024-11-25T14:56:06.940700",
            
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  "metadata_modified": "2024-12-02T18:15:06.070465",
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  "metadata_modified": "2024-12-02T18:15:07.139334",
            
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  "name": "viper-dataset",
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  "name": "viper-dataset",
            
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  "notes": "The Viper dataset is a visual perception benchmark to 
80
  "notes": "The Viper dataset is a visual perception benchmark to 
            
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facilitate both low-level and high-level vision tasks, e.g., optical 
81
facilitate both low-level and high-level vision tasks, e.g., optical 
            
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flow and semantic segmentation. It consists of videos from a realistic 
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flow and semantic segmentation. It consists of videos from a realistic 
            
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virtual world (i.e. GTA gameplay), which are collected while driving, 
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virtual world (i.e. GTA gameplay), which are collected while driving, 
            
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riding and walking in diverse ambient conditions (day, sunset, snow, 
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riding and walking in diverse ambient conditions (day, sunset, snow, 
            
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rain, and night). Each frame (resolution: 1920 \u00d7 1080) is 
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rain, and night). Each frame (resolution: 1920 \u00d7 1080) is 
            
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annotated with pix-level labels, i.e., segmentation label map.",
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annotated with pix-level labels, i.e., segmentation label map.",
            
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  "organization": {
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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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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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    "state": "active",
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    "type": "organization"
            
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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      "created": "2024-12-02T18:38:42",
            
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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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      "display_name": "Multimodal Dataset",
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      "display_name": "Video Segmentation",
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      "display_name": "Video Segmentation",
            
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      "id": "2f77127a-ffc1-4a03-924f-b6e072e68445",
            
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      "name": "Video Segmentation",
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      "name": "Video Segmentation",
            
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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": "Video-to-Video Translation",
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      "display_name": "Video-to-Video Translation",
            
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      "id": "0c263f36-d3af-41fb-8d93-a707303d3876",
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      "id": "0c263f36-d3af-41fb-8d93-a707303d3876",
            
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      "name": "Video-to-Video Translation",
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      "name": "Video-to-Video Translation",
            
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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": "Viper",
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      "display_name": "Viper",
            
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      "id": "da63b9aa-5e4d-405c-8b60-4c68820ef1db",
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      "id": "da63b9aa-5e4d-405c-8b60-4c68820ef1db",
            
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      "name": "Viper",
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      "name": "Viper",
            
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      "state": "active",
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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": "Visual Perception",
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      "display_name": "Visual Perception",
            
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      "name": "Visual Perception",
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      "state": "active",
            
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    },
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    },
            
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    {
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      "display_name": "image-to-labels",
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      "display_name": "image-to-labels",
            
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      "id": "3b661c90-57aa-4517-beaa-64de24744db7",
            
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      "name": "image-to-labels",
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      "name": "image-to-labels",
            
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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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      "display_name": "labels-to-image",
            
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      "name": "labels-to-image",
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      "name": "labels-to-image",
            
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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": "semantic labels",
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      "display_name": "semantic labels",
            
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      "id": "bb5e3c7e-238d-4740-9b9b-adcfee58feea",
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      "id": "bb5e3c7e-238d-4740-9b9b-adcfee58feea",
            
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      "name": "semantic labels",
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      "name": "semantic labels",
            
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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": "video",
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      "display_name": "video",
            
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      "id": "f867b62b-f4d0-472d-ad6f-16729253a79f",
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      "id": "f867b62b-f4d0-472d-ad6f-16729253a79f",
            
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      "name": "video",
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      "name": "video",
            
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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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  "title": "Viper dataset",
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  "title": "Viper 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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}