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vehicle-FxUj

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Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection
3

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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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646_png.jpg

416x416
0.17MP

Updated Jan 31, 2024

4:49AM
GMT+00:00

Validation Set

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Raw Data

Source Data

                            {
    "accumulator": null,
    "annotation_jobs": [
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        "DfU9yY9p0O7KQjSZe4SK/6AX9lHkR71p5pw5nMPHa",
        "9i0kmI3wgWSdPwByrbm6/4RcR2QjqiNBiL7VmAcmJ"
    ],
    "annotations": {
        "vehicle": {
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                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":170.5,\"y\":204,\"width\":123,\"height\":136},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":64,\"y\":268,\"width\":128,\"height\":290},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":362,\"y\":172.5,\"width\":55,\"height\":81}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpeg",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.png",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.bmp"
            ]
        },
        "vehicle-FxUj": {
            "original": {
                "annotation": "0 0.4098557692307692 0.49038461538461536 0.29447115384615385 0.3269230769230769\n0 0.15384615384615385 0.6442307692307693 0.3076923076923077 0.6971153846153846\n0 0.8701923076923077 0.41466346153846156 0.13221153846153846 0.19471153846153846",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":170.5,\"y\":204,\"width\":123,\"height\":136},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":64,\"y\":268,\"width\":128,\"height\":290},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":362,\"y\":172.5,\"width\":55,\"height\":81}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpeg",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.png",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.bmp"
            ]
        },
        "vehicles": {
            "original": {
                "annotation": "0 0.4098557692307692 0.49038461538461536 0.29447115384615385 0.3269230769230769\n0 0.15384615384615385 0.6442307692307693 0.3076923076923077 0.6971153846153846\n0 0.8701923076923077 0.41466346153846156 0.13221153846153846 0.19471153846153846",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":170.5,\"y\":204,\"width\":123,\"height\":136},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":64,\"y\":268,\"width\":128,\"height\":290},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":362,\"y\":172.5,\"width\":55,\"height\":81}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpeg",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.png",
                "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.bmp"
            ]
        }
    },
    "batches": [],
    "camera": null,
    "classes": [
        "vehicle",
        "vehicle-FxUj",
        "vehicles"
    ],
    "created": {
        "_seconds": 1701497735,
        "_nanoseconds": 185000000
    },
    "datasets": [
        "DfU9yY9p0O7KQjSZe4SK",
        "9i0kmI3wgWSdPwByrbm6"
    ],
    "extension": "jpg",
    "hashes": [
        "cffe473824f40de1728f33f21685f95e"
    ],
    "height": 416,
    "id": "CW7KstP5wpSFFcDxWKGW",
    "label": [
        "Unlabeled"
    ],
    "metadata": {
        "no": "metadata"
    },
    "name": "646_png.jpg",
    "owner": "26D5fqP0Y2Sv8oseGD5mV8IfSvy2",
    "projects": [
        "DfU9yY9p0O7KQjSZe4SK",
        "9i0kmI3wgWSdPwByrbm6"
    ],
    "r": 0.06867233485938522,
    "split": "valid",
    "split.494d4BkxdnMx3oahIA6u": "valid",
    "split.9i0kmI3wgWSdPwByrbm6": "valid",
    "split.DfU9yY9p0O7KQjSZe4SK": "valid",
    "tags": [
        "494d4BkxdnMx3oahIA6u:status:approved",
        "DfU9yY9p0O7KQjSZe4SK:status:approved",
        "9i0kmI3wgWSdPwByrbm6:status:approved"
    ],
    "updated": {
        "_seconds": 1706676585,
        "_nanoseconds": 680000000
    },
    "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": 170.5,
            "y": 204,
            "width": 123,
            "height": 136
        },
        {
            "label": "Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection",
            "x": 64,
            "y": 268,
            "width": 128,
            "height": 290
        },
        {
            "label": "Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection",
            "x": 362,
            "y": 172.5,
            "width": 55,
            "height": 81
        }
    ],
    "height": 416,
    "key": "646_png.rf.1801f1147147cb7a54b0bc09c03c0dff.jpg",
    "width": 416
}

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