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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
3

Unused Classes

White Egg

Attributes

2023042015393129.jpg

640x640
0.41MP

Updated Nov 30, 55348

3:11AM
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
90° Rotate Applied
Rotation 1°
Shear X: 1°
Y: 0°
Saturation 5%
Brightness -3%
Exposure 5%
Blur 0.5px
Noise 1%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "NHYaK4IeHc9jMJglIvtg"
    ],
    "destination": "b9eb5648573aac00be536840d33df086",
    "height": 640,
    "id": "oP42mbTyfWgnWG4u9Zs7",
    "label": [],
    "labels": [],
    "name": "2023042015393129.jpg",
    "numSteps": 17,
    "owner": "e4rUEyWrvMWxvGxDcE2rEbEQK812",
    "preprocessing": [
        "auto-orient",
        "static-crop:[1,100,1,100]",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Contrast Stretching\"]",
        "flip:[[\"both\"],[\"both\"],[]]",
        "brightness:[[3],[5],[7]]",
        "exposure:[[3],[6],[-1]]",
        "blur:[[0.25],[0],[0.25]]",
        "noise:[[0,308270],[0.5,208872],[0.25,451379]]",
        "ninety:[90]",
        "rotate:[1]",
        "shear:[1,0]",
        "saturation:[5]",
        "brightness:[-3]",
        "exposure:[5]",
        "blur:[0.5]",
        "noise:[1,55892]"
    ],
    "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": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "1°"
        },
        {
            "name": "Shear",
            "value": "X: 1°<br/>Y: 0°"
        },
        {
            "name": "Saturation",
            "value": "5%"
        },
        {
            "name": "Brightness",
            "value": "-3%"
        },
        {
            "name": "Exposure",
            "value": "5%"
        },
        {
            "name": "Blur",
            "value": "0.5px"
        },
        {
            "name": "Noise",
            "value": "1%"
        }
    ],
    "source": "oP42mbTyfWgnWG4u9Zs7",
    "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:[[\\\"both\\\"],[\\\"both\\\"],[]]\",\n    \"brightness:[[3],[5],[7]]\",\n    \"exposure:[[3],[6],[-1]]\",\n    \"blur:[[0.25],[0],[0.25]]\",\n    \"noise:[[0,308270],[0.5,208872],[0.25,451379]]\",\n    \"ninety:[90]\",\n    \"rotate:[1]\",\n    \"shear:[1,0]\",\n    \"saturation:[5]\",\n    \"brightness:[-3]\",\n    \"exposure:[5]\",\n    \"blur:[0.5]\",\n    \"noise:[1,55892]\"\n]",
    "updated": 1684475838705,
    "updatedDate": "Nov 30, 55348",
    "updatedTime": "3:11AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "NHYaK4IeHc9jMJglIvtg/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Brown Egg",
            "x": 422.80643615630163,
            "y": 310.5,
            "width": 274.7330465561804,
            "height": 126
        },
        {
            "label": "Brown Egg",
            "x": 423.7896493943531,
            "y": 479.5,
            "width": 226.0937520044597,
            "height": 188
        },
        {
            "label": "Brown Egg",
            "x": 216.0162113932382,
            "y": 432.5,
            "width": 214.23919774973348,
            "height": 213
        }
    ],
    "height": 640,
    "key": "2023042015393129.jpg",
    "width": 640
}

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