Edit Project

Accident Response Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-09-23 5:08pm

Generated on Sep 23, 2024

Download Dataset

Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Other Formats

Choose another format.

1143 Total Images

View All Images

Dataset Split

Train Set 88%

1002Images

Valid Set 8%

94Images

Test Set 4%

47Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal

Grayscale: Apply to 20% of images

Brightness: Between -29% and +29%

Exposure: Between -10% and +10%

Bounding Box: Rotation: Between -14° and +14°

Similar Projects

Annotations

Group:

Car-Bike-Truck-Human-Accident

Police-Ambulance-Firebrigade_mp4-0000.jpg

640x640

0.41MP

Updated Dec 24, 56699

11:29AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Rotation

Applied Per Bounding Box

Flip

Horizontal

Brightness

Exposure

-2%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "pXrbswu3ypBUUpOUSsox"
    ],
    "destination": "4ef3391331f54aa4bd6b6319360ea7bb",
    "height": 640,
    "id": "kwuPEfIooCdMO8flWqIg",
    "label": [],
    "labels": [],
    "name": "Police-Ambulance-Firebrigade_mp4-0000.jpg",
    "numSteps": 6,
    "owner": "feWDiKGMWZMZvOWNfYPr6SNDbaf1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "rotate:[[3],[2],[9],[6],[9],[-1],[12],[-6],[11],[7],[-12],[0],[-13],[11],[-10],[-2],[8],[0]]",
        "flip:[\"horizontal\"]",
        "brightness:[9]",
        "exposure:[-2]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Rotation",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "Brightness",
            "value": "9%"
        },
        {
            "name": "Exposure",
            "value": "-2%"
        }
    ],
    "source": "kwuPEfIooCdMO8flWqIg",
    "split": "train",
    "split.pXrbswu3ypBUUpOUSsox.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"rotate:[[3],[2],[9],[6],[9],[-1],[12],[-6],[11],[7],[-12],[0],[-13],[11],[-10],[-2],[8],[0]]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"brightness:[9]\",\n    \"exposure:[-2]\"\n]",
    "updated": 1727111330980,
    "updatedDate": "Dec 24, 56699",
    "updatedTime": "11:29AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "pXrbswu3ypBUUpOUSsox/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Car",
            "x": 441,
            "y": 347,
            "width": 95.25,
            "height": 79.5
        },
        {
            "label": "Car",
            "x": 318,
            "y": 330.5,
            "width": 82.75,
            "height": 65
        },
        {
            "label": "Car",
            "x": 141.5,
            "y": 428,
            "width": 135.75,
            "height": 108.75
        },
        {
            "label": "Car",
            "x": 22,
            "y": 429.5,
            "width": 44,
            "height": 65
        },
        {
            "label": "Car",
            "x": 416,
            "y": 287,
            "width": 69.75,
            "height": 58.75
        },
        {
            "label": "Car",
            "x": 339.5,
            "y": 280.5,
            "width": 51,
            "height": 44.75
        },
        {
            "label": "Car",
            "x": 472.5,
            "y": 295,
            "width": 54.25,
            "height": 40.75
        },
        {
            "label": "Car",
            "x": 519.5,
            "y": 281,
            "width": 42.75,
            "height": 43.75
        },
        {
            "label": "Car",
            "x": 254,
            "y": 273.5,
            "width": 34.5,
            "height": 39.5
        },
        {
            "label": "Car",
            "x": 225.5,
            "y": 273,
            "width": 20.75,
            "height": 28.75
        },
        {
            "label": "Car",
            "x": 299.5,
            "y": 269,
            "width": 20.5,
            "height": 31.5
        },
        {
            "label": "Car",
            "x": 277.5,
            "y": 258,
            "width": 16.75,
            "height": 27.75
        },
        {
            "label": "Car",
            "x": 588,
            "y": 254,
            "width": 57,
            "height": 51
        },
        {
            "label": "Car",
            "x": 626,
            "y": 228,
            "width": 28,
            "height": 50
        },
        {
            "label": "Car",
            "x": 479,
            "y": 257,
            "width": 40,
            "height": 37
        },
        {
            "label": "Car",
            "x": 61.5,
            "y": 368,
            "width": 99,
            "height": 67.5
        },
        {
            "label": "Car",
            "x": 154.5,
            "y": 273,
            "width": 15.5,
            "height": 24.5
        },
        {
            "label": "Car",
            "x": 132.5,
            "y": 363.5,
            "width": 139,
            "height": 58
        }
    ],
    "height": 640,
    "key": "Police Ambulance Firebrigade_mp4-0000.jpg",
    "width": 640
}

Accident Response Detection

Dataset Versions

2024-09-23 5:08pm

Popular Download Formats

1143 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

Police-Ambulance-Firebrigade_mp4-0000.jpg

Updated Dec 24, 56699

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data