Road Surface Damage Detection using YOLOv5 algorithm of deep Learning

Object Detection

Dataset Versions

Try Pre-Trained Model

v1

YOLOv5 8 Holes

Generated on Mar 27, 2023

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.

3672 Total Images

View All Images

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

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

See More

Road Surface Damage Detection using YOLOv5 algorithm of deep Learning

Annotate

1 / 13

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group: Road-Damages

Unused Classes

D00

D01

D10

D11

D20

D40

D43

D44

D50

Attributes

India_000543.jpg

640x640

0.41MP

Updated Jun 29, 55206

11:35PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "Z03VZDL2EYoROs2pbieh"
    ],
    "destination": "72307640bd87e8e2b59e61ec50197738",
    "height": 640,
    "id": "hGLEME9x2OhJRVXDb158",
    "label": [],
    "labels": [],
    "name": "India_000543.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": "hGLEME9x2OhJRVXDb158",
    "split": "train",
    "split.Z03VZDL2EYoROs2pbieh.1": "train",
    "split.Z03VZDL2EYoROs2pbieh.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1679981470517,
    "updatedDate": "Jun 29, 55206",
    "updatedTime": "11:35PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "Z03VZDL2EYoROs2pbieh/1",
        "Z03VZDL2EYoROs2pbieh/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [],
    "height": 640,
    "key": "India_000543.jpg",
    "width": 640
}

Annotation Editor

Delete

Save (Enter)

Smart Polygon

Click inside to remove area or outside to expand.

Undo

Redo

Simplify

Simple Complex

Delete

Finish (Enter)

180%

Reset