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  "access_rights": "",
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  "author": "Malte R. Damgaard",
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  "author": "Malte R. Damgaard",
            
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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.2202.09555"
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    "https://doi.org/10.48550/arXiv.2202.09555"
            
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  "defined_in": "https://doi.org/10.1080/01691864.2022.2029762",
            
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  "doi": "10.57702/h5f4subo",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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      "extra_author": "Rasmus Pedersen",
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Thomas Bak",
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  "name": "houseexpo-dataset",
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  "name": "houseexpo-dataset",
            
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  "notes": "The HouseExpo dataset is a large-scale 2D indoor layout 
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  "notes": "The HouseExpo dataset is a large-scale 2D indoor layout 
            
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dataset for learning-based algorithms. It contains 5,000 images as 
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dataset for learning-based algorithms. It contains 5,000 images as 
            
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training data, 200 images as model validation data, and 100 images as 
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training data, 200 images as model validation data, and 100 images as 
            
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test data.",
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test data.",
            
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      "created": "2024-12-16T18:25:45",
            
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      "display_name": "HouseExpo",
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  "title": "HouseExpo dataset",
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  "title": "HouseExpo 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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}