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  "access_rights": "",
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  "author": "Razieh Ganjee",
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  "author": "Razieh Ganjee",
            
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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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  "defined_in": "https://doi.org/10.48550/arXiv.2008.03614",
            
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  "doi": "10.57702/etcitbk2",
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  "doi": "10.57702/etcitbk2",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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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": "Mohsen Ebrahimi Moghaddam",
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      "extra_author": "Mohsen Ebrahimi Moghaddam",
            
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Ramin Nourinia",
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      "extra_author": "Ramin Nourinia",
            
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      "orcid": ""
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Crowd Analysis",
            
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      "name": "crowd-analysis",
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      "name": "crowd-analysis",
            
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      "title": "Crowd Analysis"
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      "title": "Crowd Analysis"
            
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      "display_name": "Medical Image Analysis",
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      "name": "medical-image-analysis",
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      "name": "medical-image-analysis",
            
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      "title": "Medical Image Analysis"
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      "title": "Medical Image Analysis"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Optical Coherence Tomography",
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      "name": "optical-coherence-tomography",
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      "name": "optical-coherence-tomography",
            
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      "title": "Optical Coherence Tomography"
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      "title": "Optical Coherence Tomography"
            
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  "metadata_modified": "2024-12-03T10:27:39.749542",
            
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  "name": "umn-dataset",
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  "name": "umn-dataset",
            
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  "notes": "The UMN dataset consists of three different crowd scenes, 
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  "notes": "The UMN dataset consists of three different crowd scenes, 
            
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and the dataset has 11 videos from these scenes, with a resolution of 
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and the dataset has 11 videos from these scenes, with a resolution of 
            
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240 \u00d7 320. Each video sequence represents a normal window slot, 
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240 \u00d7 320. Each video sequence represents a normal window slot, 
            
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for example, walking, and an abnormal window slot.",
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for example, walking, and an abnormal window slot.",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "id": "c697f687-3c45-40ec-a797-529a2d580128",
            
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      "display_name": "Intra-retinal cyst segmentation",
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      "display_name": "crowd analysis",
            
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    },
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      "display_name": "human behavior",
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      "display_name": "human behavior",
            
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    },
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    {
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    {
            
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      "display_name": "video dataset",
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      "display_name": "video dataset",
            
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      "id": "1f8a670b-8cd5-4369-8cc1-06e5ff372d93",
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      "id": "1f8a670b-8cd5-4369-8cc1-06e5ff372d93",
            
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  "title": "UMN dataset",
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}