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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Adel Ammar",
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  "author": "Adel Ammar",
            
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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.1812.01712"
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    "https://doi.org/10.48550/arXiv.1812.01712"
            
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  ],
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  "defined_in": "https://doi.org/10.1016/j.media.2024.103151",
            
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  "doi": "10.57702/fbjj8aq2",
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  "doi": "10.57702/fbjj8aq2",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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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": "Anis Koubaa",
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      "extra_author": "Anis Koubaa",
            
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Mohanned Ahmed",
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      "extra_author": "Mohanned Ahmed",
            
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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": "Abdulrahman Saad",
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      "extra_author": "Abdulrahman Saad",
            
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      "orcid": ""
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      "orcid": ""
            
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      "title": "Aerial Image Analysis"
            
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      "name": "diagnosis",
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      "name": "diagnosis",
            
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      "title": "Diagnosis"
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      "description": "",
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      "name": "knee-mri",
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      "name": "knee-mri",
            
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      "title": "Knee MRI"
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      "title": "Knee MRI"
            
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      "name": "object-detection",
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      "name": "object-detection",
            
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      "title": "Object Detection"
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      "title": "Object Detection"
            
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      "description": "",
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      "name": "scene-understanding",
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      "name": "scene-understanding",
            
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      "title": "Scene Understanding"
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      "title": "Scene Understanding"
            
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  "metadata_modified": "2024-12-02T17:59:18.799245",
            
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  "name": "stanford-dataset",
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  "name": "stanford-dataset",
            
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  "notes": "The Stanford dataset consists of a large-scale collection 
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  "notes": "The Stanford dataset consists of a large-scale collection 
            
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of aerial images and videos of a university campus containing various 
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of aerial images and videos of a university campus containing various 
            
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agents (cars, buses, bicycles, golf carts, skateboarders and 
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agents (cars, buses, bicycles, golf carts, skateboarders and 
            
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}
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}