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vehicle-FxUj

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Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection
2

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This dataset was exported via roboflow.com on November 25, 2023 at 4:44 PM GMT
car
heavy vehicle
lightvehicle

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96.jpg

416x416
0.17MP

Updated Jan 31, 2024

4:49AM
GMT+00:00

Testing Set

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Raw Data

Source Data

                            {
    "accumulator": null,
    "annotation_jobs": [
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        "DfU9yY9p0O7KQjSZe4SK/6AX9lHkR71p5pw5nMPHa",
        "9i0kmI3wgWSdPwByrbm6/4RcR2QjqiNBiL7VmAcmJ"
    ],
    "annotations": {
        "vehicle": {
            "original": {
                "annotation": "0 0.5300480769230769 0.03125 0.12139423076923077 0.055288461538461536\n0 0.9483173076923077 0.026442307692307692 0.09975961538461539 0.04927884615384615",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":220.5,\"y\":13,\"width\":51,\"height\":23},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":394.5,\"y\":11,\"width\":42,\"height\":21}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpeg",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.png",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.bmp"
            ]
        },
        "vehicle-FxUj": {
            "original": {
                "annotation": "0 0.5300480769230769 0.03125 0.12139423076923077 0.055288461538461536\n0 0.9483173076923077 0.026442307692307692 0.09975961538461539 0.04927884615384615",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":220.5,\"y\":13,\"width\":51,\"height\":23},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":394.5,\"y\":11,\"width\":42,\"height\":21}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpeg",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.png",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.bmp"
            ]
        },
        "vehicles": {
            "original": {
                "annotation": "0 0.5300480769230769 0.03125 0.12139423076923077 0.055288461538461536\n0 0.9483173076923077 0.026442307692307692 0.09975961538461539 0.04927884615384615",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":220.5,\"y\":13,\"width\":51,\"height\":23},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":394.5,\"y\":11,\"width\":42,\"height\":21}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpeg",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.png",
                "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.bmp"
            ]
        }
    },
    "batches": [],
    "camera": null,
    "classes": [
        "vehicle",
        "vehicle-FxUj",
        "vehicles"
    ],
    "created": {
        "_seconds": 1701497704,
        "_nanoseconds": 772000000
    },
    "datasets": [
        "DfU9yY9p0O7KQjSZe4SK",
        "9i0kmI3wgWSdPwByrbm6"
    ],
    "extension": "jpg",
    "hashes": [
        "d52cd4feab91cd883fbe09d8a2634271"
    ],
    "height": 416,
    "id": "A56uXrIJm1nruBtfP3q1",
    "label": [
        "Unlabeled"
    ],
    "metadata": {
        "no": "metadata"
    },
    "name": "96.jpg",
    "owner": "26D5fqP0Y2Sv8oseGD5mV8IfSvy2",
    "projects": [
        "DfU9yY9p0O7KQjSZe4SK",
        "9i0kmI3wgWSdPwByrbm6"
    ],
    "r": 0.999345977763244,
    "split": "test",
    "split.494d4BkxdnMx3oahIA6u": "test",
    "split.9i0kmI3wgWSdPwByrbm6": "test",
    "split.DfU9yY9p0O7KQjSZe4SK": "test",
    "tags": [
        "494d4BkxdnMx3oahIA6u:status:approved",
        "DfU9yY9p0O7KQjSZe4SK:status:approved",
        "9i0kmI3wgWSdPwByrbm6:status:approved"
    ],
    "updated": {
        "_seconds": 1706676559,
        "_nanoseconds": 967000000
    },
    "updatedDate": "Jan 31, 2024",
    "updatedTime": "4:49AM",
    "updatedTimezone": "+00:00",
    "uploader": "26D5fqP0Y2Sv8oseGD5mV8IfSvy2",
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection",
            "x": 220.5,
            "y": 13,
            "width": 51,
            "height": 23
        },
        {
            "label": "Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection",
            "x": 394.5,
            "y": 11,
            "width": 42,
            "height": 21
        }
    ],
    "height": 416,
    "key": "96_jpg.rf.b050c48a3839f4e1caa5d441fd6d88b8.jpg",
    "width": 416
}

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