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Road Surface Damage Detection using YOLOv5 algorithm of deep Learning

Object Detection

Dataset Versions

Try Pre-Trained Model

YOLOv8 8 Holes

Generated on Mar 28, 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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3672 Total Images

View All Images

Dataset Split

Train Set 70%

2571Images

Valid Set 20%

734Images

Test Set 10%

367Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

Road-Damages

India_000631.jpg

640x640

0.41MP

Updated Jun 29, 55206

11:26PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "Z03VZDL2EYoROs2pbieh"
    ],
    "destination": "d43c14d03b9718d3b98154548ac018b0",
    "height": 640,
    "id": "0aanyDYRdNwPsCcn21As",
    "label": [],
    "labels": [],
    "name": "India_000631.jpg",
    "numSteps": 2,
    "owner": "JnIQfmug7cQb03lB05pIXZ6Igrs2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "0aanyDYRdNwPsCcn21As",
    "split": "valid",
    "split.Z03VZDL2EYoROs2pbieh.1": "valid",
    "split.Z03VZDL2EYoROs2pbieh.2": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1679981469987,
    "updatedDate": "Jun 29, 55206",
    "updatedTime": "11:26PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "Z03VZDL2EYoROs2pbieh/1",
        "Z03VZDL2EYoROs2pbieh/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "D40",
            "x": 134,
            "y": 482,
            "width": 268,
            "height": 216
        },
        {
            "label": "D40",
            "x": 474.5,
            "y": 508,
            "width": 229.5,
            "height": 168
        },
        {
            "label": "D20",
            "x": 315,
            "y": 510,
            "width": 241,
            "height": 169
        }
    ],
    "height": 640,
    "key": "India_000631.jpg",
    "width": 640
}

Road Surface Damage Detection using YOLOv5 algorithm of deep Learning

Dataset Versions

YOLOv8 8 Holes

Popular Download Formats

3672 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

India_000631.jpg

Updated Jun 29, 55206

Generated by Roboflow

Validation Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data