Dataset Versions

v1

2024-09-20 6:26am

Generated on Sep 20, 2024

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Dataset Split

Train Set 73%
2270Images
Valid Set 17%
523Images
Test Set 10%
324Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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metal surface defects
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Annotations

Group:
metal-surface

CLASSES

LAYERS

 
- export- train- and deploy computer vision models
1

Unused Classes

crescent gap
inclusion
oil spot
patches
pitted surface
rolled in scale
scratches
silk spot
water spot
welding line

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Attributes

img_04_4402831800_01217.jpg

640x640
0.41MP

Updated Sep 20, 2024

10:47AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "inclusion": 688,
        "rolled in scale": 843,
        "patches": 526,
        "scratches": 229,
        "pitted surface": 13
    },
    "datasets": [
        "d8Nuo6TZYRr2jIvbSgVM"
    ],
    "destination": "550bf920599bfb1e2d033ffea2195105",
    "height": 640,
    "id": "eIQJktLAe8concPp2TbX",
    "label": [],
    "labels": [],
    "name": "img_04_4402831800_01217.jpg",
    "numSteps": 2,
    "owner": "ifsHChasGYGRYTZ8LiWb",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "eIQJktLAe8concPp2TbX",
    "split": "train",
    "split.d8Nuo6TZYRr2jIvbSgVM.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1726829232,
        "_nanoseconds": 408000000
    },
    "updatedDate": "Sep 20, 2024",
    "updatedTime": "10:47AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "d8Nuo6TZYRr2jIvbSgVM/1"
    ],
    "width": 640
}
{
    "boxes": [
        {
            "label": "- export- train- and deploy computer vision models",
            "x": 105,
            "y": 29,
            "width": 210,
            "height": 58
        }
    ],
    "height": 640,
    "key": "img_04_4402831800_01217_jpg.rf.452acb332f64487004ac18f650519e6b.jpg",
    "width": 640
}

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