Dataset Versions

v7

2024-04-13 11:42pm

Generated on Apr 14, 2024

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Dataset Split

Train Set 88%
9240Images
Valid Set 8%
880Images
Test Set 4%
439Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 20% of images
Exposure: Between -14% and +14%
Blur: Up to 1.6px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -30° and +30°

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Mallet
Annotate
mallet322.jpeg
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train
Labels
Attributes
Raw Data

Annotations

Group:
mallet

CLASSES

LAYERS

 
bottle
1
 
mallet
1

Tags

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

Attributes

mallet322.jpeg

640x640
0.41MP

Updated Apr 14, 2024

6:42AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Crop Keep 90%
Centered on 80%, 79%
Resize Stretch to 640x640
90° Rotate Applied Per Bounding Box
Rotation Applied Per Bounding Box
Flip Horizontal
Grayscale Applied
Exposure -4%
Blur 0.25px

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "mallet": 3509,
        "bottle": 1717
    },
    "datasets": [
        "pv049aPpTyIyyv228U1X"
    ],
    "destination": "28fab2fd27593689f390b73ba3d26831",
    "height": 640,
    "id": "ZWgebXAuTDB4JLfEWM5N",
    "label": [],
    "labels": [],
    "name": "mallet322.jpeg",
    "numSteps": 9,
    "owner": "FI1GVbwSIeZwB9vlmCCzdSb03cu2",
    "preprocessing": [
        "auto-orient",
        "crop:[90,0.803399,0.794692]",
        "resize:[\"Stretch to\",640,640]",
        "ninety:[[180],[180]]",
        "rotate:[[1],[-5]]",
        "flip:[\"horizontal\"]",
        "grayscale",
        "exposure:[-4]",
        "blur:[0.25]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 90%<br />Centered on 80%, 79%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Rotation",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Exposure",
            "value": "-4%"
        },
        {
            "name": "Blur",
            "value": "0.25px"
        }
    ],
    "source": "ZWgebXAuTDB4JLfEWM5N",
    "split": "train",
    "split.pv049aPpTyIyyv228U1X.7": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[90,0.803399,0.794692]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"ninety:[[180],[180]]\",\n    \"rotate:[[1],[-5]]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"grayscale\",\n    \"exposure:[-4]\",\n    \"blur:[0.25]\"\n]",
    "updated": {
        "_seconds": 1713076969,
        "_nanoseconds": 786000000
    },
    "updatedDate": "Apr 14, 2024",
    "updatedTime": "6:42AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "pv049aPpTyIyyv228U1X/7"
    ],
    "width": 640
}
{
    "boxes": [
        {
            "label": "bottle",
            "x": 446,
            "y": 582,
            "width": 42.5,
            "height": 106.125
        },
        {
            "label": "mallet",
            "x": 230,
            "y": 630.5,
            "width": 44,
            "height": 19
        }
    ],
    "height": 640,
    "key": "mallet322.jpeg",
    "width": 640
}

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