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vehicle-FxUj

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Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection
3

Unused Classes

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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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289.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": {
            "original": {
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                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":169,\"y\":80.5,\"width\":49,\"height\":119},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":377,\"y\":31.5,\"width\":54,\"height\":45},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":113.5,\"y\":54.5,\"width\":61,\"height\":107}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpeg",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.png",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.bmp"
            ]
        },
        "vehicle-FxUj": {
            "original": {
                "annotation": "0 0.40625 0.1935096153846154 0.11778846153846154 0.2860576923076923\n0 0.90625 0.07572115384615384 0.12980769230769232 0.10817307692307693\n0 0.27283653846153844 0.1310096153846154 0.14543269230769232 0.25600961538461536",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":169,\"y\":80.5,\"width\":49,\"height\":119},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":377,\"y\":31.5,\"width\":54,\"height\":45},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":113.5,\"y\":54.5,\"width\":61,\"height\":107}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpeg",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.png",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.bmp"
            ]
        },
        "vehicles": {
            "original": {
                "annotation": "0 0.40625 0.1935096153846154 0.11778846153846154 0.2860576923076923\n0 0.90625 0.07572115384615384 0.12980769230769232 0.10817307692307693\n0 0.27283653846153844 0.1310096153846154 0.14543269230769232 0.25600961538461536",
                "format": "txt",
                "source": "YoloDarknet"
            },
            "converted": "{\"key\":\"289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg\",\"boxes\":[{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":169,\"y\":80.5,\"width\":49,\"height\":119},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":377,\"y\":31.5,\"width\":54,\"height\":45},{\"label\":\"Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection\",\"x\":113.5,\"y\":54.5,\"width\":61,\"height\":107}],\"width\":416,\"height\":416}",
            "used": true,
            "key": [
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpeg",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.png",
                "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.bmp"
            ]
        }
    },
    "batches": [],
    "camera": null,
    "classes": [
        "vehicle",
        "vehicle-FxUj",
        "vehicles"
    ],
    "created": {
        "_seconds": 1701497736,
        "_nanoseconds": 496000000
    },
    "datasets": [
        "DfU9yY9p0O7KQjSZe4SK",
        "9i0kmI3wgWSdPwByrbm6"
    ],
    "extension": "jpg",
    "hashes": [
        "57a5eacc393a7bcfb568f20075049724"
    ],
    "height": 416,
    "id": "7j1wDqTtyEkwc5UQdUU4",
    "label": [
        "Unlabeled"
    ],
    "metadata": {
        "no": "metadata"
    },
    "name": "289.jpg",
    "owner": "26D5fqP0Y2Sv8oseGD5mV8IfSvy2",
    "projects": [
        "DfU9yY9p0O7KQjSZe4SK",
        "9i0kmI3wgWSdPwByrbm6"
    ],
    "r": 0.01962066710268149,
    "split": "valid",
    "split.494d4BkxdnMx3oahIA6u": "valid",
    "split.9i0kmI3wgWSdPwByrbm6": "valid",
    "split.DfU9yY9p0O7KQjSZe4SK": "valid",
    "tags": [
        "494d4BkxdnMx3oahIA6u:status:approved",
        "DfU9yY9p0O7KQjSZe4SK:status:approved",
        "9i0kmI3wgWSdPwByrbm6:status:approved"
    ],
    "updated": {
        "_seconds": 1706676587,
        "_nanoseconds": 222000000
    },
    "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": 169,
            "y": 80.5,
            "width": 49,
            "height": 119
        },
        {
            "label": "Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection",
            "x": 377,
            "y": 31.5,
            "width": 54,
            "height": 45
        },
        {
            "label": "Vehicle Detection YOLO V5 - v1 YOLO v5 vehicle detection",
            "x": 113.5,
            "y": 54.5,
            "width": 61,
            "height": 107
        }
    ],
    "height": 416,
    "key": "289_jpg.rf.54112c6d0e3e9aba2e096f6b9cce4393.jpg",
    "width": 416
}

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