Edit Project

Road Surface Damage Detection using YOLOv5 algorithm of deep Learning

Object Detection

Dataset Versions

Try Pre-Trained Model
Versions
YOLOv5 4 Holes
v3
·
2 years ago
YOLOv8 8 Holes
v2
·
2 years ago
YOLOv5 8 Holes
v1
·
2 years ago
v1

YOLOv5 8 Holes

Generated on Mar 27, 2023
Download

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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 Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image

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
 
D00
1

Unused Classes

D01
D10
D11
D20
D40
D43
D44
D50

Attributes

India_000740.jpg

640x640
0.41MP

Updated Jun 29, 55206

11:38PM
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": "73b69d44f5fc828df04ba2b3107af51c",
    "height": 640,
    "id": "tOvyKas6IBi8nECwgOpE",
    "label": [],
    "labels": [],
    "name": "India_000740.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": "tOvyKas6IBi8nECwgOpE",
    "split": "train",
    "split.Z03VZDL2EYoROs2pbieh.1": "train",
    "split.Z03VZDL2EYoROs2pbieh.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1679981470739,
    "updatedDate": "Jun 29, 55206",
    "updatedTime": "11:38PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "Z03VZDL2EYoROs2pbieh/1",
        "Z03VZDL2EYoROs2pbieh/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "D00",
            "x": 412,
            "y": 581.5,
            "width": 31,
            "height": 64
        }
    ],
    "height": 640,
    "key": "India_000740.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