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2024-04-08 9:02am
v10
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a year ago
2024-01-15 8:23am
v9
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a year ago
2023-08-12 10:02am
v8
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2 years ago
2023-07-05 2:40pm
v7
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2 years ago
2023-06-15 2:11pm
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2 years ago
2023-06-12 1:17pm
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2023-06-09 2:29pm
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2 years ago
2023-06-09 1:04pm
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2 years ago
2023-05-31 2:04pm
v2
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2 years ago
2023-05-25 10:50am
v1
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2 years ago
v10

2024-04-08 9:02am

Generated on Apr 8, 2024
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1874 Total Images

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Dataset Split

Train Set 87%
1635Images
Valid Set 8%
156Images
Test Set 4%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 280x280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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a247941f-57c8-4413-8f25-0889cd5f3511
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train
Labels
Attributes
Raw Data

Annotations

Group:
conduit

Classes

Layers

 
conduit
2

Unused Classes

dot
flat_tape
laser
tape

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

fa030532-bd1b-4925-892a-0e708bf4ab43_1687427195037_b.jpg

280x280
0.08MP

Updated Nov 10, 56238

6:56PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Fit (black edges) in 280x280
Rotation 2°
Brightness 1%
Exposure 13%
Blur 1.75px
Noise 0.28%

Annotation History

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Raw Data

Source Data

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    "datasets": [
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    "height": 280,
    "id": "nPu2ssxZp7hv1ICeba5c",
    "label": [],
    "labels": [],
    "name": "fa030532-bd1b-4925-892a-0e708bf4ab43_1687427195037_b.jpg",
    "numSteps": 7,
    "owner": "DCezHImn8UVJvjJNfVf5bdKPZrb2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (black edges) in\",280,280]",
        "rotate:[2]",
        "brightness:[1]",
        "exposure:[13]",
        "blur:[1.75]",
        "noise:[0.28,806555]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (black edges) in 280x280"
        },
        {
            "name": "Rotation",
            "value": "2°"
        },
        {
            "name": "Brightness",
            "value": "1%"
        },
        {
            "name": "Exposure",
            "value": "13%"
        },
        {
            "name": "Blur",
            "value": "1.75px"
        },
        {
            "name": "Noise",
            "value": "0.28%"
        }
    ],
    "source": "nPu2ssxZp7hv1ICeba5c",
    "split": "train",
    "split.2erdaUglhJuZHznUTvDN.10": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (black edges) in\\\",280,280]\",\n    \"rotate:[2]\",\n    \"brightness:[1]\",\n    \"exposure:[13]\",\n    \"blur:[1.75]\",\n    \"noise:[0.28,806555]\"\n]",
    "updated": 1712559783401,
    "updatedDate": "Nov 10, 56238",
    "updatedTime": "6:56PM",
    "updatedTimezone": "+00:00",
    "user_tags": [],
    "versions": [
        "2erdaUglhJuZHznUTvDN/10"
    ],
    "width": 280
}

Annotation Data

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                ],
                [
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                ],
                [
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                ],
                [
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                ],
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        },
        {
            "type": "polygon",
            "label": "conduit",
            "x": 137.0790805,
            "y": 205.355993,
            "width": 36.91079500000001,
            "height": 32.77927600000001,
            "points": [
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                [
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                ],
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                ],
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                ],
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                ],
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        }
    ],
    "height": 280,
    "key": "fa030532-bd1b-4925-892a-0e708bf4ab43_1687427195037_b.jpg",
    "width": 280
}

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