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  "access_rights": "",
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  "author": "M. Cordts",
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  "author": "M. Cordts",
            
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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.2206.15083",
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    "https://doi.org/10.48550/arXiv.2206.15083",
            
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    "https://doi.org/10.48550/arXiv.2209.07088",
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    "https://doi.org/10.48550/arXiv.2209.07088",
            
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    "https://doi.org/10.48550/arXiv.1902.09080",
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    "https://doi.org/10.48550/arXiv.1902.09080",
            
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    "https://doi.org/10.48550/arXiv.2204.00822",
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    "https://doi.org/10.48550/arXiv.2204.00822",
            
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    "https://doi.org/10.1016/j.imavis.2017.01.009",
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    "https://doi.org/10.1016/j.imavis.2017.01.009",
            
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    "https://doi.org/10.1080/08839514.2022.2032924",
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    "https://doi.org/10.1080/08839514.2022.2032924",
            
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    "https://doi.org/10.1609/aaai.v38i7.28477",
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    "https://doi.org/10.1609/aaai.v38i7.28477",
            
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    "https://doi.org/10.48550/arXiv.2310.01828"
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    "https://doi.org/10.48550/arXiv.2310.01828"
            
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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.2205.09949",
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  "defined_in": "https://doi.org/10.48550/arXiv.2205.09949",
            
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  "doi": "10.57702/pflr6lo1",
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  "doi": "10.57702/pflr6lo1",
            
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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_status": true,
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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": "M. Omran",
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      "extra_author": "M. Omran",
            
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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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      "extra_author": "S. Ramos",
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      "extra_author": "S. Ramos",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "T. Rehfeld",
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      "extra_author": "T. Rehfeld",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "M. Enzweiler",
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      "extra_author": "M. Enzweiler",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "R. Benenson",
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      "extra_author": "R. Benenson",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "U. Franke",
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      "extra_author": "S. Roth",
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    },
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    {
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      "extra_author": "B. Schiele",
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      "name": "image-segmentation",
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      "title": "Image Segmentation"
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      "title": "Image Segmentation"
            
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      "name": "semantic-segmentation",
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      "name": "semantic-segmentation",
            
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      "title": "Semantic Segmentation"
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      "title": "Semantic Segmentation"
            
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      "description": "",
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      "name": "semantic-urban-scene-understanding",
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      "name": "semantic-urban-scene-understanding",
            
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      "title": "Semantic Urban Scene Understanding"
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      "title": "Semantic Urban Scene Understanding"
            
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      "description": "",
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      "name": "urban-scene-dataset",
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      "name": "urban-scene-dataset",
            
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      "title": "Urban Scene Dataset"
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      "title": "Urban Scene Dataset"
            
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      "name": "urban-scenes",
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      "name": "urban-scenes",
            
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      "title": "Urban Scenes"
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      "title": "Urban Scenes"
            
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      "name": "urban-scene-understanding",
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      "name": "urban-scene-understanding",
            
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      "title": "Urban scene understanding"
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      "title": "Urban scene understanding"
            
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  "landing_page": "https://www.cityscapes-dataset.com/",
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  "name": "cityscapes-dataset",
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  "name": "cityscapes-dataset",
            
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  "notes": "The Cityscapes dataset is a large-scale dataset for 
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  "notes": "The Cityscapes dataset is a large-scale dataset for 
            
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semantic segmentation. It contains 50 cities with 30,000 images for 
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semantic segmentation. It contains 50 cities with 30,000 images for 
            
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training, 20,000 images for validation, and 20,000 images for 
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training, 20,000 images for validation, and 20,000 images for 
            
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      "name": "Object Detection",
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      "display_name": "Semantic Segmentation",
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  "title": "Cityscapes Dataset",
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  "title": "Cityscapes 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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}