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road-signs-markings-detection-using-yolov8

Object Detection

Dataset Versions

Try Pre-Trained Model

Road_Markings

Generated on Aug 8, 2023

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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.

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109 Total Images

View All Images

Dataset Split

Train Set 91%

99Images

Valid Set 6%

6Images

Test Set 4%

4Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Rotation: Between -10° and +10°

Shear: ±15° Horizontal, ±15° Vertical

Saturation: Between -50% and +50%

Brightness: Between -40% and +40%

Blur: Up to 2px

Similar Projects

Annotations

Group:

Road-Signs-Markings

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640x640

0.41MP

Updated Feb 22, 55571

3:12AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Rotation

-4°

Shear

X: 11°
Y: -7°

Saturation

22%

Brightness

31%

Blur

1.5px

Raw Data

Source Data

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    "camera": "Generated by Roboflow",
    "datasets": [
        "cRhWFQvWfiJbu9OhdI18"
    ],
    "destination": "b02300124411faf12e8daaaa8c615f6d",
    "height": 640,
    "id": "1dXUKi6cAkBsqlp3DIUR",
    "label": [],
    "labels": [],
    "name": "b25lY21zOjc0Y2I5ZGNmLTgzNjEtNDc3ZS1hYWRiLTNhYjQwOTUwMWNkYTo2ZDliMzExNi1iZWJhLTRlYTUtODQwMS1lZDhkYWFlM2M3MGY-.jpg",
    "numSteps": 7,
    "owner": "xVzcUYp5WpZ2T5pto00nV49pKMB2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "rotate:[-4]",
        "shear:[11,-7]",
        "saturation:[22]",
        "brightness:[31]",
        "blur:[1.5]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Rotation",
            "value": "-4°"
        },
        {
            "name": "Shear",
            "value": "X: 11°<br/>Y: -7°"
        },
        {
            "name": "Saturation",
            "value": "22%"
        },
        {
            "name": "Brightness",
            "value": "31%"
        },
        {
            "name": "Blur",
            "value": "1.5px"
        }
    ],
    "source": "1dXUKi6cAkBsqlp3DIUR",
    "split": "train",
    "split.cRhWFQvWfiJbu9OhdI18.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"rotate:[-4]\",\n    \"shear:[11,-7]\",\n    \"saturation:[22]\",\n    \"brightness:[31]\",\n    \"blur:[1.5]\"\n]",
    "updated": 1691488667524,
    "updatedDate": "Feb 22, 55571",
    "updatedTime": "3:12AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "cRhWFQvWfiJbu9OhdI18/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Cycle",
            "x": 160.7620969745303,
            "y": 357.39730433489353,
            "width": 103.25479876559638,
            "height": 85.9931940013123
        },
        {
            "label": "Cycle",
            "x": 468.46106057733573,
            "y": 332.32689260627285,
            "width": 101.97314053008495,
            "height": 65.9931940013123
        }
    ],
    "height": 640,
    "key": "b25lY21zOjc0Y2I5ZGNmLTgzNjEtNDc3ZS1hYWRiLTNhYjQwOTUwMWNkYTo2ZDliMzExNi1iZWJhLTRlYTUtODQwMS1lZDhkYWFlM2M3MGY=.jpg",
    "width": 640
}

road-signs-markings-detection-using-yolov8

Dataset Versions

Road_Markings

Popular Download Formats

109 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

b25lY21zOjc0Y2I5ZGNmLTgzNjEtNDc3ZS1hYWRiLTNhYjQwOTUwMWNkYTo2ZDliMzExNi1iZWJhLTRlYTUtODQwMS1lZDhkYWFlM2M3MGY-.jpg

Updated Feb 22, 55571

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data