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{
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{
            
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  "author": "[{\"author\": \"Pascal Brunner\", \"author_email\": 
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  "author": "[{\"author\": \"Pascal Brunner\", \"author_email\": 
            
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\"pascal.brunner@carissma.eu\"}]",
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\"pascal.brunner@carissma.eu\"}]",
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Mobilit\u00e4t",
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      "display_name": "Mobilit\u00e4t",
            
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      "id": "fb9ec11d-93e2-4708-88a1-25019bb954b5",
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      "id": "fb9ec11d-93e2-4708-88a1-25019bb954b5",
            
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      "image_display_url": 
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"https://catalog.savenow.de/base/images/group_icons/mobility.svg",
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"https://catalog.savenow.de/base/images/group_icons/mobility.svg",
            
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      "name": "mobility",
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      "name": "mobility",
            
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      "title": "Mobilit\u00e4t"
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      "title": "Mobilit\u00e4t"
            
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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": "Software",
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      "display_name": "Software",
            
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      "id": "1413071e-cdb3-40b0-831b-f213c341020a",
            
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"https://catalog.savenow.de/base/images/group_icons/software.png",
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      "name": "software",
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      "name": "software",
            
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      "title": "Software"
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      "title": "Software"
            
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    }
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  ],
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  "id": "44439bd2-1c77-439b-9393-0417429f79e6",
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  "id": "44439bd2-1c77-439b-9393-0417429f79e6",
            
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  "language": "",
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  "language": "",
            
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  "licence_agreement": [
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  "licence_agreement": [
            
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    "licence_agreement_check"
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    "licence_agreement_check"
            
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  ],
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  ],
            
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  "license_id": "CC0-1.0",
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  "license_id": "CC0-1.0",
            
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  "license_title": "Creative Commons Zero (CC0 1.0)",
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  "license_title": "Creative Commons Zero (CC0 1.0)",
            
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  "license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
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  "license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
            
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  "maintainer": "[{\"Maintainer Email\": 
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  "maintainer": "[{\"Maintainer Email\": 
            
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\"felix.froehling@carissma.eu\", \"maintainer\": \"Felix 
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\"felix.froehling@carissma.eu\", \"maintainer\": \"Felix 
            
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Fr\u00f6hling\", \"phone\": \"\", \"role\": \"contact person\"}, 
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Fr\u00f6hling\", \"phone\": \"\", \"role\": \"contact person\"}, 
            
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{\"Maintainer Email\": \"pascal.brunner@carissma.eu\", \"maintainer\": 
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{\"Maintainer Email\": \"pascal.brunner@carissma.eu\", \"maintainer\": 
            
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\"Pascal Brunner\", \"phone\": \"\", \"role\": \"\"}]",
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\"Pascal Brunner\", \"phone\": \"\", \"role\": \"contact person\"}]",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-10-24T12:10:36.801346",
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  "metadata_created": "2023-10-24T12:10:36.801346",
            
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  "metadata_modified": "2023-11-02T11:26:46.518183",
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  "metadata_modified": "2023-11-02T11:27:13.026154",
            
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  "name": "traffic-camera-tracking-savenow",
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  "name": "traffic-camera-tracking-savenow",
            
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  "notes": "Main goals of this project is to detect, track and obtain 
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  "notes": "Main goals of this project is to detect, track and obtain 
            
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velocity information of seven different traffic actors (Escooter, 
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velocity information of seven different traffic actors (Escooter, 
            
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Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a video 
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Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a video 
            
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footage of a traffic intersection in Ingolstadt. This project is a 
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footage of a traffic intersection in Ingolstadt. This project is a 
            
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part of SaveNoW, where all these data are used to create a digital 
49
part of SaveNoW, where all these data are used to create a digital 
            
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twin of Ingolstadt for simulation purposes.\r\n\r\nThis algorithm has 
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twin of Ingolstadt for simulation purposes.\r\n\r\nThis algorithm has 
            
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been specially trained to distinguish between cyclists, e-scooter 
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been specially trained to distinguish between cyclists, e-scooter 
            
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riders and pedestrians. This data is important to better study the 
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riders and pedestrians. This data is important to better study the 
            
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traffic density and the behavior of e-scooters. \r\nThe weights of the 
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traffic density and the behavior of e-scooters. \r\nThe weights of the 
            
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Network are currently not part of the Github repo. If you are 
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Network are currently not part of the Github repo. If you are 
            
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interessted in the weights, please contact Pascal Brunner.",
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interessted in the weights, please contact Pascal Brunner.",
            
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  "num_resources": 1,
            
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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": "2023-06-27T14:06:24.055358",
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    "created": "2023-06-27T14:06:24.055358",
            
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    "description": "",
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    "id": "518ef23a-8d7b-4829-9b42-7a182a73cc0f",
            
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    "image_url": "2023-06-27-150145.628103THI.jpg",
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    "image_url": "2023-06-27-150145.628103THI.jpg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "technische-hochschule-ingolstadt-thi",
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    "name": "technische-hochschule-ingolstadt-thi",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Technische Hochschule Ingolstadt (THI)",
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    "title": "Technische Hochschule Ingolstadt (THI)",
            
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        "subject_package_id": "44439bd2-1c77-439b-9393-0417429f79e6"
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "Main goals of this project is to detect, track 
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      "description": "Main goals of this project is to detect, track 
            
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and obtain velocity information of seven different traffic actors 
110
and obtain velocity information of seven different traffic actors 
            
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(Escooter, Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a 
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(Escooter, Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a 
            
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video footage of a traffic intersection in Ingolstadt. This project is 
112
video footage of a traffic intersection in Ingolstadt. This project is 
            
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a part of SaveNoW, where all these data are used to create a digital 
113
a part of SaveNoW, where all these data are used to create a digital 
            
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twin of Ingolstadt for simulation purposes.",
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twin of Ingolstadt for simulation purposes.",
            
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      "format": "git",
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      "format": "git",
            
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      "hash": "",
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      "name": "Traffic Camera Tracking (SaveNow)",
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      "name": "Traffic Camera Tracking (SaveNow)",
            
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      "package_id": "44439bd2-1c77-439b-9393-0417429f79e6",
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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.com/savenow/Traffic_Camera_Tracking#traffic-camera-tracking-savenow",
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.com/savenow/Traffic_Camera_Tracking#traffic-camera-tracking-savenow",
            
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      "url_type": null
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[11.426468,48.775905],[11.426468,48.774519],[11.42355,48.774519]]]]}",
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  "state": "active",
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Object classification",
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      "display_name": "Object classification",
            
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      "id": "d2b5fcc8-19ae-47ed-9fb9-fd3faad2ada7",
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      "id": "d2b5fcc8-19ae-47ed-9fb9-fd3faad2ada7",
            
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      "name": "Object classification",
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      "name": "Object classification",
            
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    },
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    {
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    {
            
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      "display_name": "Object detection",
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      "display_name": "Object detection",
            
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      "id": "1082157c-a4bf-4436-adc8-53ccb83678bd",
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      "id": "1082157c-a4bf-4436-adc8-53ccb83678bd",
            
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      "name": "Object detection",
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      "name": "Object detection",
            
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  ],
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  "title": "Traffic Camera Tracking (SAVeNoW)",
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  "title": "Traffic Camera Tracking (SAVeNoW)",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}