Dataset Versions

Versions
2023-06-21 3:21pm
v1
·
2 years ago
v1

2023-06-21 3:21pm

Generated on Jun 21, 2023
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144 Total Images

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Dataset Split

Train Set 100%
144Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Noise: Up to 2% of pixels

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Fabric Defect Detection 14
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Attributes
Raw Data

Annotations

Group:
Fabric-Defect

Classes

 
İplikHatasi
0

Unused Classes

DelikVeYirtikHatasi
KumasDokusundaYabanciCisimHatasi
YagLekesiVeRenkHatasi

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Attributes

c4r1e3n45.jpg

416x416
0.17MP

Updated Dec 30, 55439

10:19PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 416x416
Grayscale Applied
Rotation 12°
Shear X: -2°
Y: -3°
Saturation -6%
Noise 1.5%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "DelikVeYirtikHatasi": 12,
        "KumasDokusundaYabanciCisimHatasi": 12,
        "YagLekesiVeRenkHatasi": 12,
        "İplikHatasi": 12
    },
    "datasets": [
        "m2Lzjhn13HPHS2LjAULX"
    ],
    "destination": "327b8aef3eeea9f59aeb428a8492704f",
    "height": 416,
    "id": "K6tIAft7FVM4bDZasLAL",
    "label": [
        "İplikHatasi"
    ],
    "labels": [
        "İplikHatasi"
    ],
    "name": "c4r1e3n45.jpg",
    "numSteps": 7,
    "owner": "1O9xAJsyoYS3tWKpu2jFaa2FyTY2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]",
        "grayscale",
        "rotate:[12]",
        "shear:[-2,-3]",
        "saturation:[-6]",
        "noise:[1.5,232448]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "12°"
        },
        {
            "name": "Shear",
            "value": "X: -2°<br/>Y: -3°"
        },
        {
            "name": "Saturation",
            "value": "-6%"
        },
        {
            "name": "Noise",
            "value": "1.5%"
        }
    ],
    "source": "K6tIAft7FVM4bDZasLAL",
    "split": "train",
    "split.m2Lzjhn13HPHS2LjAULX.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\",\n    \"grayscale\",\n    \"rotate:[12]\",\n    \"shear:[-2,-3]\",\n    \"saturation:[-6]\",\n    \"noise:[1.5,232448]\"\n]",
    "updated": 1687350089975,
    "updatedDate": "Dec 30, 55439",
    "updatedTime": "10:19PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "m2Lzjhn13HPHS2LjAULX/1"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [],
    "height": 416,
    "key": "c4r1e3n45.jpg",
    "width": 416
}
  1. 1
    DelikVeYirtikHatasi
  2. 2
    İplikHatasi
  3. 3
    KumasDokusundaYabanciCisimHatasi
  4. 4
    YagLekesiVeRenkHatasi
  5. Create class "IplikHatasi"
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