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Egg Segmentation in Poultry Industry Based on Color

Object Detection

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Versions
2023-05-19 11:27am
v1
·
2 years ago
v1

2023-05-19 11:27am

Generated on May 19, 2023
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5069 Total Images

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Dataset Split

Train Set 87%
4425Images
Valid Set 8%
418Images
Test Set 4%
226Images

Preprocessing

Auto-Orient: Applied
Static Crop: 1-100% Horizontal Region, 1-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Saturation: Between -9% and +9%
Brightness: Between -9% and +9%
Exposure: Between -7% and +7%
Blur: Up to 0.75px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -8% and +8%
Bounding Box: Exposure: Between -6% and +6%
Bounding Box: Blur: Up to 0.75px
Bounding Box: Noise: Up to 1% of pixels

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Egg Segmentation in Poultry Industry Based on Color
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Labels
Attributes
Raw Data

Annotations

Group: Egg-color
 
Brown Egg
1

Unused Classes

White Egg

Attributes

Image_150.jpg

640x640
0.41MP

Updated Nov 30, 55348

3:08AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Static Crop X: 1% to 100%
Y: 1% to 100%
Resize Stretch to 640x640
Auto-Adjust Contrast Contrast Stretching
Flip Applied Per Bounding Box
Brightness Applied Per Bounding Box
Exposure Applied Per Bounding Box
Blur Applied Per Bounding Box
Noise Applied Per Bounding Box
Flip Both
90° Rotate Applied
Rotation 0°
Shear X: 1°
Y: 0°
Saturation -4%
Brightness -2%
Exposure 3%
Blur 0.25px
Noise 0.75%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "NHYaK4IeHc9jMJglIvtg"
    ],
    "destination": "8c5a17898791df09b75b25f69ab8df1d",
    "height": 640,
    "id": "2rHGWGJqB9zp2YMYCBcB",
    "label": [],
    "labels": [],
    "name": "Image_150.jpg",
    "numSteps": 18,
    "owner": "e4rUEyWrvMWxvGxDcE2rEbEQK812",
    "preprocessing": [
        "auto-orient",
        "static-crop:[1,100,1,100]",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Contrast Stretching\"]",
        "flip:[[\"horizontal\"]]",
        "brightness:[[6]]",
        "exposure:[[-4]]",
        "blur:[[0.75]]",
        "noise:[[0.5,241671]]",
        "flip:[\"both\"]",
        "ninety:[180]",
        "rotate:[0]",
        "shear:[1,0]",
        "saturation:[-4]",
        "brightness:[-2]",
        "exposure:[3]",
        "blur:[0.25]",
        "noise:[0.75,135130]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 1% to 100%<br/>Y: 1% to 100%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Contrast Stretching"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Brightness",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Exposure",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Noise",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "0°"
        },
        {
            "name": "Shear",
            "value": "X: 1°<br/>Y: 0°"
        },
        {
            "name": "Saturation",
            "value": "-4%"
        },
        {
            "name": "Brightness",
            "value": "-2%"
        },
        {
            "name": "Exposure",
            "value": "3%"
        },
        {
            "name": "Blur",
            "value": "0.25px"
        },
        {
            "name": "Noise",
            "value": "0.75%"
        }
    ],
    "source": "2rHGWGJqB9zp2YMYCBcB",
    "split": "train",
    "split.NHYaK4IeHc9jMJglIvtg.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[1,100,1,100]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Contrast Stretching\\\"]\",\n    \"flip:[[\\\"horizontal\\\"]]\",\n    \"brightness:[[6]]\",\n    \"exposure:[[-4]]\",\n    \"blur:[[0.75]]\",\n    \"noise:[[0.5,241671]]\",\n    \"flip:[\\\"both\\\"]\",\n    \"ninety:[180]\",\n    \"rotate:[0]\",\n    \"shear:[1,0]\",\n    \"saturation:[-4]\",\n    \"brightness:[-2]\",\n    \"exposure:[3]\",\n    \"blur:[0.25]\",\n    \"noise:[0.75,135130]\"\n]",
    "updated": 1684475838492,
    "updatedDate": "Nov 30, 55348",
    "updatedTime": "3:08AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "NHYaK4IeHc9jMJglIvtg/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Brown Egg",
            "x": 285.98030432314596,
            "y": 168.5,
            "width": 54.401430256955905,
            "height": 69
        }
    ],
    "height": 640,
    "key": "Image_150.jpg",
    "width": 640
}

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